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DTSTART;TZID=Europe/Copenhagen:20260501T090000
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DTSTAMP:20260614T033231
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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
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DTSTART;VALUE=DATE:20260824
DTEND;VALUE=DATE:20260829
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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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