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X-WR-CALDESC:Events for DDSA
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DTSTART;TZID=Europe/Copenhagen:20260420T090000
DTEND;TZID=Europe/Copenhagen:20260428T150000
DTSTAMP:20260414T212126
CREATED:20250602T114106Z
LAST-MODIFIED:20250602T114106Z
UID:10001644-1776675600-1777388400@ddsa.dk
SUMMARY:Bioinformatics
DESCRIPTION:Learn about bioinformatics analysis of genomic\, transcriptomic\, and proteomic data. \nDuring this course\, you will gain knowledge of the most essential databases and methods for molecular sequence and structure analysis. \nThese years\, computer based methods play a crucial role in molecular biology\, microbiology\, and personalised medicine. Huge international databases of sequence and structure contain information\, which in many cases can entirely replace experimental work\, and in other cases can be used to optimize the benefit of experimental resources. \nIntroduction to Bioinformatics is a practically oriented course with focus on using the methods rather than deriving them mathematically. Bioinformatics is presented as a biological discipline rooted in evolutionary theory. A large part of the course consists of computer-based exercises\, where the computational tools are applied based on the participants’ biological prior knowledge. \nThe course is part of the Master programme in Personalised Medicine offered by The University of Copenhagen.
URL:https://ddsa.dk/event/bioinformatics/
LOCATION:DTU\, Building 303A aud. 42\, DTU Lyngby Campus\, Lyngby\, Denmark
CATEGORIES:Other Events,PhD Course
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2025/05/Bioinformatics_1100x600.jpg
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DTSTART;TZID=Europe/Copenhagen:20260501T090000
DTEND;TZID=Europe/Copenhagen:20260619T150000
DTSTAMP:20260414T212126
CREATED:20250602T114136Z
LAST-MODIFIED:20250602T114136Z
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SUMMARY:Data Science
DESCRIPTION:Learn to analyse large data sets and train machine learning methods. \nIncreasing amounts of data are being collected in the healthcare system from high throughput genomics\, wearable devices\, and electronic patient records. This course will provide you with the necessary data science skills required to analyse such large datasets. \nWe will cover the various data analysis steps from loading and transforming data to visualization\, statistical analysis\, and machine learning (both supervised and unsupervised learning). \nYou will learn about tools that can help make clear and reproducible analyses such as software for version control and workflow management and be introduced to the use of High-Performance Computing (HPC) and parallelization. \nThe course will be hands-on where you will analyse relevant data sets combined with a systematic review of the various methods and tools\, including sources of error\, variation\, and uncertainty. \nThe data analysis will be done using R (tidyverse) and experience with the use of R is an advantage. Experience with R can possibly be gained by self-study in connection with the course.
URL:https://ddsa.dk/event/data-science/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:Other Events,PhD Course
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2025/05/Datascience_1100x600px.jpg
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DTSTART;TZID=Europe/Copenhagen:20260528T150000
DTEND;TZID=Europe/Copenhagen:20260528T170000
DTSTAMP:20260414T212126
CREATED:20260324T093037Z
LAST-MODIFIED:20260324T093037Z
UID:10001951-1779980400-1779987600@ddsa.dk
SUMMARY:Talking HeaDS – Health Data Science Seminar and Social Networking
DESCRIPTION:“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 to not only strengthen health data science within the Faculty of Health and Medical Sciences (SUND) at the University of Copenhagen\, but to serve as a hub for researchers using health data science. \nThe Talking HeaDS seminar will be presented by Helene Charlotte Wiese Rygtaard. \n“One of the key challenges in medical research consists of analyzing the effects of treatments administered over time using real-world data.” \nHelene works on methodological research in the areas of causal inference\, targeted (machine) learning\, event history analysis\, and efficient nonparametric estimation. Her main focus is on the development of statistical machine learning methods for estimating intervention effects in time-varying settings\, and their appropriate application in medical and epidemiological studies. \nThe Talking HeaDS seminar series offers:\nPresentations on research developments across disciplines that leverage data science methodologies\nQuestion and answer sessions with researchers\nNetworking\, mingling\, and refreshments to strengthen relationships across health data science
URL:https://ddsa.dk/event/talking-heads-health-data-science-seminar-and-social-networking-5/
CATEGORIES:DDSA-Funded Event
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/03/1100x600_Course_Image_Talking_HeaDS.png
ORGANIZER;CN="Center for Health Data Science (HeaDS)":MAILTO:heads-admin@sund.ku.dk
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DTSTART;VALUE=DATE:20260824
DTEND;VALUE=DATE:20260829
DTSTAMP:20260414T212126
CREATED:20260309T121321Z
LAST-MODIFIED:20260309T121321Z
UID:10001940-1787529600-1787961599@ddsa.dk
SUMMARY:PhD Course: Small-angle scattering: Principles\, Data Analysis and Advanced Modeling
DESCRIPTION:This course will give a thorough introduction to small-angle x-ray and neutron scattering (SAXS and SANS). The course will cover data collection and basic instrumentation\, but the main focus will be on the analysis of data. This will be facilitated by a range of international lectures\, which are all experts in small-angle scattering. Confirmed guest lecturers: \n– Jan Skov Pedersen\, Department of Chemistry and Interdisciplinary Nanoscience Center (iNANO)\, Aarhus University\, Denmark\n– Wim Bouwmann\, Department of Radiation Science and Technology\, Delft University of Technology (TU Delft)\, Netherlands\n– Michal Hammel\, Berkely Lab\, Molecular Biophysics and Integrated Bioimaging\, Lawrence Berkeley National Laboratory (LBNL)\, California\, USA\n– Annette Langkilde\, Department of Drug Design and Pharmacology\, University of Copenhagen\, Denmark \nThe course has a strong focus on hands-on learning\, to facilitaty the crucial step from understanding to mastering. Therefore\, all learning modules will contain practical aspects or exercises. This is facilitated by our online learning site SASTutorials.org\, which is developed and extended along with the course. The course also includes project work\, where the students work with aspects of their own ph.d. project involving SAXS or SANS. This may include analysis of already collected data\, design of an experiment\, or writing a successfull beamline application. \nOrganizers:\nAndreas H. Larsen\, Niels Bohr Institute\, University of Copenhangen\nJacob J. K. Kirkensgaard\, Niels Bohr Institute and the Department of Food science\, Universtity of Copenhagen
URL:https://ddsa.dk/event/phd-course-small-angle-scattering-principles-data-analysis-and-advanced-modeling/
LOCATION:University of Copenhagen\, 4 Frue Plads\, Copenhagen\, 1168\, Denmark
CATEGORIES:DDSA-Funded Event,PhD Course
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