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 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 / […]
We’re thrilled to announce the upcoming AAU NLP 2024 Symposium, bringing together students, researchers, and industry practitioners to explore and discuss NLP topics within the realm of such as LLM-Security, […]
Artificial Nature Transposium: Transdisciplinary Symposium on Artificial Life and Sustainable Complex Systems, accompanied by a media art exhibition EDEN, is organized by scholars and researchers from Aalborg University and the […]
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 […]
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 […]
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 […]
Workshop Programme: Artificial intelligence (AI) has the potential to transform healthcare worldwide. bearing promises of increased accuracy, efficiency, and cost-effectiveness, in areas as diverse as drug discovery, clinical diagnosis, and […]
ContentThis course is an official Toolbox course at SCIENCE-UCPH and a generic course under the Danish PhD regulations. The course introduces the dominant programming language in data science, Python. Python […]
Speaker: Professor Thomas S Richardson Department of Statistics University of Washington, Seattle Time: January 24, 2025, 15:00, Reception to follow Location: 35.01.06, Room 6, Floor -1, Building 35 on CSS […]
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, […]
The Accessible Bioinformatics Cafe (ABC) is a cozy and informal biweekly space where you can come for two of hours, work on your code, try a guided tutorial, or drop […]
Bring your colleagues for a nice tasty Danish breakfast, while networking over coffee. INCUbistro at INCUBA Katrinebjerg, 8200 Aarhus From 8-10am, friday 31 January 2025 Sign up here: https://www.eventbrite.com/e/1219297183699?aff=oddtdtcreator Hosted […]
Er du mellem 18-30 år? Til Ungetopmødet på Christiansborg får du mulighed for at præge fremtidens politik om kunstig intelligens Hvordan sikrer vi, at kunstig intelligens udvikles og bruges ansvarligt […]
The Accessible Bioinformatics Cafe (ABC) is a cozy and informal biweekly space where you can come for two of hours, work on your code, try a guided tutorial, or drop […]
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 […]
Join us for this first afternoon talk co-hosted by Danish Statistical Society and Danish Data Science Academy How can data scientists use their expert voice to qualify public knowledge and […]
“This must be the place” to hear about the latest and greatest in the expanding field of health data science. The mission of the Center for Health Data Science is […]
The Accessible Bioinformatics Cafe (ABC) is a cozy and informal biweekly space where you can come for two of hours, work on your code, try a guided tutorial, or drop […]
Speaker: Dan Russell Title: “People, AI and online research” Location: InCuba Store Auditorium (Building: 5510, Room: 103), Åbogade 15, 8200 Aarhus When: February 28th 2025, at 14:15 Abstract: Given all […]
Open call for the fourth award of 11 three-year PhD Fellowships of DKK 1.9 million each. We award visionary and creative-thinking young data scientists who want to pursue their own […]
Open call for the second award of 6 two-year DDSA Postdoc Fellowships of DKK 1.3 million each! We award visionary and creative-thinking young data scientists who wants to pursue their […]
We live in a world, where great science cannot always to speak for itself. It is critical that scientific advancements are made readily available and easy to understand as science […]
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 […]
The Accessible Bioinformatics Cafe (ABC) is a cozy and informal biweekly space where you can come for two of hours, work on your code, try a guided tutorial, or drop […]
Speaker: Johannes Textor, Radboud University Title: Expert-In-The-Loop Causal Structure Learning Time: March 13 from 15.00 - 16.00, followed by a reception Location: University of Copenhagen: CSS 35-01-44, (building 35, floor […]
Master Data Visualization – from data to insight Data visualization is an essential tool in a data-driven world. But how do you create visualizations that not only look good but […]
Skal Danmark være en nation af teknologieksperter, eller har den analoge modbølge fat i den lange ende? Og bør vi regulere AI hårdt eller prøve os frem? Dette kan du […]
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 […]
This conference will probe the opportunities that exist across the stack and how these opportunities can be used to bring us closer to the goal of solving significant problems in […]
“This must be the place” to hear about the latest and greatest in the expanding field of health data science. The mission of the Center for Health Data Science is […]
Aim and Objective The aim of the class is to introduce PhD students in finance and related fields to identification strategies in corporate finance. The course is designed to provide […]
Aim and content This 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 […]
Description: An intelligent system is expected to generate policies autonomously to achieve a goal, which is mostly to maximize a given reward function or minimize a given cost function. Reinforcement learning […]
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 […]
The International Conference on Software Architecture (https://conf.researchr.org/home/icsa-2025), a prominent event in the fields of software engineering and architecture, is coming to Denmark for the first time, and you won't want […]
Objectives of the course: The PhD students will be introduced to Bayesian hierarchical modelling, which are becoming increasingly popular for fitting ecological, environmental, and human disease models to temporal and […]
Description: There is a long history of the application of statistical methods on collected data (for example data from experiments). The current replication crisis in science is evidence that sometimes (maybe […]
The Department of Mathematical Sciences invites students, faculty, and the public to join us for the Earth Day 2025 Event. The theme for this year is “Climate Change Data Dashboards”. […]
6th International Conference on Big Data (CBDA 2025) April 26 ~ 27, 2025, Copenhagen, Denmark https://cosit2025.org/cbda/index Call for Papers 6th International Conference on Big Data (CBDA 2025) will act as […]
Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political […]
Aim and content The course will take place over five consecutive Tuesdays, starting Apr. 29, 2025 (i.e. April 29. May 6, May 13, May 20, May 27). The Machine Learning […]
Date and time: 30 April 2025 from 9:00 to 16:00. Target group This course is exclusively for PhD students at University of Copenhagen. Academic Aim The purpose of this course is to […]
Welcome to Method comparison reliability and agreement 2025 Program: BEN (also relevant for B, CPM, CSLTM, HES) Description: The course will focus on the importance of method comparison studies when evaluating new […]
Speaker: Magnus Madsen Location: Peter Bøgh Auditorium (Building: 5335, Room: 016), Finlandsgade 21, 8200 Aarhus When: May 1st, 2025, at 14:15 Abstract: In this talk, I will present an overview […]
Join us on May 1st at DTU Skylab in Lyngby for an afternoon of thought-provoking talks, expert-led discussions, and meaningful networking focused on the latest trends in technical AI. Shortly […]
Aim and content This 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 […]
# 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 […]
Welcome to Radio Simulation Techniques Description: Due to the increasing complexity of radio systems, the use of advanced simulations is becoming one of the preferred methodologies for realistic performance assessments. In […]
Aim and content This 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 […]
Aim and content Researchers are usually interested in investigating causal relationships, i.e., how one thing affects another thing. While the analysis of causal relationships is easiest when using experimental data, […]
