Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
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 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.
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 […]
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 […]
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 […]
Aim and contentThis PhD course, "From Point to Pixel," is designed to equip students with the essential tools and skills needed to transform ground truth sample data into high-resolution pixel-level estimates, which can then be aggregated into comprehensive maps. The primary goal of the course is to provide students with the expertise necessary to quantify […]
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 […]
Course description The course offers an introduction to analyzing texts through a combination of close reading strategies and quantitative corpus-based approaches. The course aims to introduce participants to the skills and knowledge necessary to conduct large-scale analyses of discourse in various contexts using quantitative corpus-based methods. During the course, we will work mainly with media […]
REDCap is an increasingly popular browser-based database platform for data collection in clinical research. It offers an intuitive user interface for building custom data collection instruments for clinical research projects. Instruments can be filled by the researchers themselves, or can be enabled as surveys that can be filled by project participants themselves. With complete audit […]
Description: Modern laboratory equipment produces huge amounts of experimental data — spectral vectors with hundreds of wavelengths, microarrays, gene expression data, sensors, multi-channel images and many others. Even conventional measurements may end up with tens to hundreds of variables. Such data represent a wealth of potential information but usually only a part of it relates […]
Welcome to Machine learning in health technology Program: BEN Description: Do you want to get into machine learning but do not know where to start? This is a 3-day course with a practical approach to machine learning directed to PhD students at the Faculty of Medicine. The course includes two days of lectures from basics about machine learning to […]
This course is exclusively for PhD students at University of Copenhagen. Date and Time: 14 November 2024 from 9:00 to 16:00. The purpose of this course is to introduce PhD students from the humanities to the basics of research data management, how to comply with the UCPH Data Management Policy, and how to act in accordance with […]
Welcome to Self-Supervised Learning Organizer: Zheng-Hua Tan Lecturers: Zheng-Hua Tan ECTS: 2 Date/Time: November 18-20, 2024 Deadline: 28 October 2024 Max no. Of participants: 50 Description: The course gives an introduction to self-supervised learning methods for learning representations of single- and multiple-modality data, covering deep architectures, training target and loss functions used in state-of-the-art methods, and selected downstream applications. A focus will be […]
Welcome to: Components of causal inference with focus on assumptions and confounding control PhD Programme: Epidemiology & Biostatistics Purpose: You already know that establishing a causal relationship is distinct from observing an association. While individuals who receive the flu vaccine tend to have a lower mortality rate compared to those who do not, we must consider whether this […]
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 […]
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 […]
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 […]
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 Advanced Natural Language Processing for Industry: Theory and Practice Organiser: Assistant Professor, Chen Li, cl@mp.aau.dk Lecturers: Associate Professor, Dimitris Chrysostomou, Department of Materials and Production Associate Professor, Thomas Ditlev Brunø, Department of Materials and Production Associate Professor, Elizabeth Jochum, Department of Communication and Psychology Associate Professor, Simon Bøgh, Department of Materials and Production Assistant Professor, Chen Li, Department of […]
Organizer: Prof. Remus Teodorescu Aalborg University and Dr. Xin Sui, Aalborg University Lecturers: Postdoc. Xin Sui, Postdoc, Aalborg University Roberta Di Fonso, Aalborg University Prof. Remus Teodorescu, Aalborg University Assoc. Prof. Changfu zou, Chalmers University of Technology ECTS: 2.0 Date/Time: 27-28 November 2024 Deadline: 06 November 2024 Place: AAU Energy, Pontoppidanstraede 101 room 1.015, Aalborg, Denmark Max no. of participants: 30 Description: Lithium-ion […]
Welcome to Advanced control for building applications Organizer: Alireza Afshari Lecturers: Samira Rahnama, Mahmood Khatibi ECTS: 3.0 (28 hours of work load per ECTS) Time: 2-4 December 2024 Place: Aalborg University Zip code: 9220 City: Aalborg Number of seats: 20 Deadline: 11 October 2024 Description: Topic, background and motivation for the course: Despite extensive research and successful implementation of advanced control techniques, like MPC, in other fields, […]
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 Modelling, Verification, Performance Analysis, Refinement, Synthesis and Machine Learning for Cyber Physical Systems Organizer: Kim Guldstrand Larsen Lecturers: Kim Guldstrand Larsen, Marius Mikucionis, Peter Gjøl Jensen, Ulrik Nyman ECTS: 3 Date/Time: 2, 3, 4, 5, 6 December 2024 Deadline: 11 November 2024 Max no. Of participants: 30 Description: Timed automata and games, priced timed automata and energy automata have emerged […]
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 […]
Aim and contentIn industry and research huge amounts of physical, chemical, sensory and other quality measurements are produced on all sorts of materials, processes and products. Exploratory data analysis / chemometrics offers a tool for extracting the optimal information from these data sets through the use of digitalization (modern software and computer technology).The course will […]
Aim and contentb>”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 3rd symposium on the advances in biomedical engineering and neuroscience Program: BEN - MANDATORY COURSE FOR BIOMEDICAL ENGINEERING AND NEUROSCIENCE Description: The course has a focus on disseminating the most relevant and recent achievements within biomedical and engineering science to address relevant health care problems. This course will be organized annually and will include […]
Objectives of the course: The course will provide an applied introduction to generalized additive modelling in R for biologists. Most of the statistical methods you are likely to have encountered will have specified fixed functional forms for the relationships between covariates and the response, either implicitly or explicitly. These might be linear effects or involve polynomials, such […]
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 […]
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 […]
Aim and contentThe purpose of the module is to introduce the students into Data Science, Data Management, and Career Management:• Many students will apply/develop Data Science methods (data analysis, statistics, and machine learning) directly in their own research; and all students should be aware of this potential. • Some students will directly apply Data Management […]
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 […]
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 […]
Aim and contentLarge-scale data analysis of “-omics” data in the biological sciences.Many experimental procedures such as the various “-omics” techniques routinely employed within biotechnology/biological research fields produce vast amounts of data. Therefore, the amount of available data in many biological disciplines is steadily increasing. Fundamental knowledge and skills of large-scale computing systems and analysis methods […]
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 […]
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 […]
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 […]
Aim and contentThe course will introduce students to the applications and requirements for the use of a wide range of animal models (both invertebrates and mammals) in research and biotech/pharma. The course will be provided by expert lectures by research groups at UCPH and industrial partners with a focus on how each animal model is […]
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 […]
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 […]
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 […]
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 […]
Aim and contentSeats for this course are 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 enrollment deadline. After the enrolment deadline, […]
Aim and contentThe purpose of the module is to introduce the students into Data Science, Data Management, and Career Management:• Many students will apply/develop Data Science methods (data analysis, statistics, and machine learning) directly in their own research; and all students should be aware of this potential. • Some students will directly apply Data Management […]
# Computational Research Methods, a PhD Course at Copenhagen Business School. ## Course Description This course is designed for doctoral students who are interested in applying computational research methods to social science research. The overarching objectives of the course are to (1) familiarize students with key concepts in the field of computational social science, and […]
# Computational Research Methods, a PhD Course at Copenhagen Business School. ## Course Description This course is designed for doctoral students who are interested in applying computational research methods to social science research. The overarching objectives of the course are to (1) familiarize students with key concepts in the field of computational social science, and […]