29 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Copenhagen
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Department of Biology Faculty of Science University of Copenhagen The Kresten Lindorff-Larsen group is looking for a PhD student in computational biophysics and machine learning studies
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possible thereafter. Our research At TreeSense, we use remote sensing and machine learning to develop new means to characterize and quantify global woody vegetation dynamics, both inside and outside
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specimens is particularly strong on Danish and arctic (Greenland) material but also contains material from all over the world. To read more about the botanical collections, see here: https
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and recent projects: https://isim.ku.dk/research/cohep/?pure=en/persons/54263 https://isim.ku.dk/research/cohep/ https://pubmed.ncbi.nlm.nih.gov/?term=jens+bukh&sort=date Profile We are looking for a
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to afforestation. Postdoc projects Postdoctoral position 1 will particularly focus on eddy covariance and auto chamber measurements of CO2 and other GHGs. Main tasks include: Establish and maintain two new eddy
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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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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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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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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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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