Aim and contentPlease note that to apply, you have to both apply via this site AND send an email. Please see the information on how to apply at the bottom of this page.-----------------Programming (particularly in R) has become an essential tool in biological research, including PhD projects. But biology degrees often do not include an actual […]
3 Week Intensive Summer Course “Information Visualization” Learn how to visualize data from the ground up (visual perception, visual marks and channels, colors) all the way to advanced visualization techniques for multivariate, temporal, geospatial, and network data, as well as their combination in multiple coordinated view setups. The course will feature a mix of lectures, […]
ContentThe field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation and its covariation with other variables. Advances in the statistical treatment of morphometric data, made largely possible by the course instructors, have led to a revolution in GM that can be seen across scientific disciplines, including paleontology, ecology, evolutionary biology, evo-devo, and […]
Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science, AI Research, medical sciences and biology. In this summer school, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis. Biomedical image analysis […]
The aim of the Ph.D. course is to give a comprehensive introduction to research methods used in the different phases of the innovation process for digital health technologies such as telehealth, home monitoring, mHealth, video consultation, artificial intelligence, clinical robots, etc. Thus, Ph.D. students will during the course learn about relevant research methods and their […]
Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
Free, annual event for bachelor’s- and master’s students in data science (or related) study programmes who are curious about doing a PhD in data science. This is your opportunity to spend 24+ hours with like-minded students and a line-up of PhD students, young researchers, and data science professionals ready to share their experiences and advice […]
Organiser: Associate Professor Chungen Yin, chy@energy.aau.dk Lecturers: Associate Professor Chungen Yin, AAU Energy, Associate Professor Torsten Berning, AAU Energy Post-Doc Tianbao Gu, AAU Energy ECTS: 4.0 Date/Time: August 19-22, 2024 Deadline: 29 July 2024 Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark Format: in person Max no. of participants: 25 Computational Fluid Dynamics (CFD) has been successfully used for improved understanding, trouble shooting, innovative […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Aim and contentIt is critical for environmental scientists to quantify the major sources and sinks of the most important greenhouse gases (GHGs), CO2, CH4 and N2O, as well as to disentangle the processes involved in GHG production and consumption in terrestrial ecosystems. Such data and knowledge are essential for the development of national and international […]
Course organizer (name, department and research group): MASSHINE Title and date of the course: “Social data science – machine learning in the humanities and social sciences”. 26 – 30 August 2024 Location: Hotel Højgaarden, Slettestrandvej 50, 9690 Fjerritslev Lecturer(s): Associate Professor Roman Jurowetzki (Aalborg University Business School) Associate Professor Rolf Lyneborg Lund (Department of Sociology […]
Copenhagen Centre for Social Data Science Dates and time: 27-29 August 2024 from 9 am to 4 pm. This course will introduce the basics of big data and machine learning and how it can be used in the context of social science research. No prior knowledge is assumed, and it is well-suited for people with no prior experience […]
Welcome to Data and Machine Learning Operations (DataOps and MLOps) Description: The course will cover central concepts, methods, techniques, and tools within DataOps and MLOps. Topics include Data Augmentation, Labeling, Cleaning, Pre-processing, Quantifying the Data Quality, Lifecycle, machine learning model deployment, ML pipeline orchestration, monitoring and maintenance (via updating with transfer learning OR retraining) in production, […]
The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The course is intended for beginners, for those who want to brush-up their Stata skills, and for those with knowledge about statistical models or methods who want to know how to implement them in Stata. It is specifically about using Stata rather than explaining statistical concepts or methods. Disclaimer:DDSA has explicit permission from Arcanic and […]
Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
The aim of the course is to introduce the student to the basic use of the programming language Python. The course is designed to build up the basic skills in Python necessary for attending the course Basic Data Science in Python. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to […]
Over the last five to ten years machine learning (ML) methods has gained widespread use with both sports and health data. ML methods can be used with both accelerometry or heart rate data for health or sports purposes or for simple clinical studies to find important patterns in the data. The possibilities seem almost endless. […]
Aim and contentThis is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
Welcome to Tools for Scientific Software Development and Data Science (2024) The development of eScience and Data Science across research fields means many researchers have to spend a significant amount of time at their computers. As a consequence, we need to ensure that our skill set and toolbox is up to date and that we […]
The participants will through creating a data management plan be introduced to central elements of data management in research projects, workflows, relevant legislation, principles and standards for data documentation and data control, preparing quantitative data for analysis and relevant legislation in relation to management and safekeeping of research data. Disclaimer:DDSA has explicit permission from Arcanic […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
Machine learning has shown promising results in medical image diagnosis, at times with claims of expert-level performance. However, algorithms with high reported performances do not always generalize to real-life settings, leading to incorrect and/or biased diagnoses. Two key datasets-related issues contribute to this challenge: (i) the presence of shortcuts, i.e. spurious correlations between artifacts in […]
The etiology of complex diseases concerns not only the DNA sequence variation of a gene, but most importantly also the functional regulation of the gene triggered by specific environmental stimuli. Epigenetics is a newly emerging field of genetic study that focuses on the dynamic aspects of gene activity regulation under given environmental conditions, a very […]
This September, DDEA invites postdocs to Bornholm, Denmark for our annual Postdoc Summit. Join us to strengthen the endocrinology research community through scientific and professional development at the postdoc level. By gathering both Danish and international postdocs for an immersive week-long event, we will provide you with opportunities to gain a broader scientific perspective on […]
Description: Mixed models provide a flexible framework for analyzing data with multiple sources of random variation and they are indispensable in many medical, biological, and engineering applications. When treatments are tested in medical applications, the responses for individuals receiving the same treatment often vary due to unobserved genetic factors and this variation must be taken into […]
Description: In many situations, a number of observations are made which contain some information about an underlying phenomenon we are interested in. Examples of this are: The diagnosis of the Parkinson’s disease from a telephone recording, The assessment of bearing wear from vibrational data, The automatic transcription of music, Order tracking analysis of rotating machines, […]
The 6th Nordic Fintech Research Symposium will focus on how academia, fintechs, larger financial institutions and authorities can collaborate on fighting financial fraud with a special focus on Anti Money Laundering (AML) by applying knowledge from state-of-the-art research and advanced industry solutions For the Symposium Copenhagen Fintech has worked with The Department of Computer Science […]
Objectives of the course: This course is aimed at a growing cohort of postgraduate data scientists and biologists who use automated methods to study insects (and other arthropods) in their research. Participants will be introduced to the state-of-the-art when it comes to automated monitoring of insects, including various modes of image acquisition, their strengths and […]
Welcome to: Big data - from raw data to data integration in clinical research projects Program: Main CSLTM · Biomedicine (B) · Clinical and Pharmacological Medicine (CPM) · Clinical Science, Laboratory and Translational Medicine (CSLTM) Description: Omics technologies including genomics, transcriptomics, epigenetics, proteomics and metabolomics are now key technologies in multiple fields of research and a highly active domain in health and […]
The course provides an introduction to more advanced statistical models and analyzes in medical research Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
Welcome to Applications of AI to Modern Data Management Systems Organizer: Professor Torben Bach Pedersen Lecturers: Professor Wolfgang Lehner ECTS: 2 Date/Time: 7-9 October 2024 Deadline: 16 September 2024 Max no. Of participants: 15 Description: The course will cover applications of AI to modern data management systems, including learned indexes, learned optimizers, and other state of the art applications of modern AI […]
The aim of the course is to introduce the PhD student to basic tasks, methods and evaluation procedures in data science, using Python and its libraries and environments. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Description: The notion of Artificial Intelligence (AI) dates back approx. 70 years as a research field and even longer if one considers fiction writers. A number of different definitions of AI has been suggested over the years, but none seem to capture what AI is. This might be due to the fact that AI is about computer algorithms that behave intelligently. And since the capabilities of computer algorithms improve […]
Does peer review feel like a black box? Are you frustrated with that pesky ‘reviewer 2’? Do you want to become the best reviewer you can be? Join us to uncover the strengths, flaws, and multi-faceted role that peer review plays in academia and at the academia-policy-media nexus. Gain deep insights into editorial and review […]
Dates and time: 21, 24, and 31 October + 5, 8, and 12 November 2024 from 9:30 to 15:00 HUM DataLab offers a PhD course that covers basic concepts of inferential statistics. The focus will be on both conceptual and practical issues with short presentations and hands-on exercises. Inferential statistics is about generalizing from a sample to […]
The aim of the course is to introduce the student to the basic use of the software R. The course is designed to build up the basic skills in R necessary for attending to the PhD course Basic Statistical Analysis. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display […]
DDSA is thrilled to announce the dates of D3A – Danish Digitization, Data Science and AI 2.0 – hosted by Danish Data Science Academy, Pioneer Centre for AI, and Digital Research Centre Denmark! On October 22-23, 2024, we are bringing together visionary researchers and leading professionals at Hotel Nyborg Strand to grow the Danish digitalization, […]
The following elements will be dealt with: -Aspects that are common for most research designs (e.g. research questions, study material, data retrieval, and approach to statistical analysis) -Specific 'needs' for various research designs (e.g. the differences between observational and association studies, cross-sectional and prospective studies, cohort studies and comparative studies) - Important issues to ensure […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
Welcome to Human-Centered Artificial Intelligence Organizer: Niels van Berkel Lecturers: Haiyi Zhu ECTS: 3 Date/Time: 4-5-6 November 2024 Deadline: 13 October 2024 Max no. Of participants: 20 Description: Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors in society ranging from health, transportation, finance, construction, entertainment among others. Taking an optimistic view, Ben Schneiderman envisions,” computing devices […]
To give the participants an introduction to Analysis of Variance with focus on repeated measures in experimental studies, and to enable the participants to choose a relevant statistical analysis of own data. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Welcome to Computational Fluid Dynamics (CFD) in Building Ventilation Description: The application of Computational Fluid Dynamics in building ventilation systems is crucial for creating environments that are not only energy - efficient and compliant with regulations but also prioritize occupant health, safety, and comfort. CFD provides a comprehensive understanding of airflow dynamics, enabling engineers and designers to make informed decisions that positively impact the performance […]
Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science and medicine. Bayesian statistics offers an alternative approach to traditional data analysis by including prior knowledge about the model parameters in form of a prior […]
Copenhagen Centre for Social Data Science Dates and time: Day 1 – Wednesday, 6 November 2024 – 2:00 pm – 4:30 pm Day 2 – Wednesday, 20 November 2024 – 2:00 pm – 4:00 pm Good research data management (RDM) practices are an essential part of good research practices. They increase the efficiency and quality […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Enrolment deadline: October 14 Enrolment requirements: No paper will be required. However, we will need an abstract from every participant before the course starts to get an overview over the topics and be able to relate to their projects during the course. Participation will also require preparing and hold a presentation during the course. Description: This […]