28 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Copenhagen
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expected to attend the secondments as well as summer schools and other network training events. The position will be based at the Department of Biology and the Centre for Machine Learning in the Life
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as well as teaching. The post may also include performance of other duties. Further information on the Department is linked at https://ign.ku.dk/english/. Inquiries about the position can be made
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on the department can be found at: https://in.ku.dk/research/nielsen-lab/ Our research We are a multidisciplinary research group with a strong emphasis on translational neuroscience. We conduct non-invasive
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assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database . Please note that we might ask you to obtain an assessment of your education performed by
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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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Attend PhD courses Write scientific articles and your PhD thesis Teach and disseminate your research To stay at an external research institution for a few months, preferably abroad Work for the department
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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optoelectronics and cryogenic device platforms in the context of artificial neural networks and neuromorphics. Information on the department can be found at: https://qdev.nbi.ku.dk/ Our research Our group conducts
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Analysis (CADA), which leverages the combined analytical efforts at the Department. Further information on CADA, as well as the Department and a description of the new research vision can be found at: https
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– is Denmark's largest science research and education institution with 4,000 employees and 9,700 Bachelor and master students in 12 departments. The faculty has an annual budget of DKK 3 billion. Learn