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to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system
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) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system/grading-system ) have a
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
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interactions with CSE activities. Please find guidelines and further information on the website of the PhD School: https://www.cbs.dk/en/research/phd-programmes/admission . Recruitment procedure The Recruitment
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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influences ice dynamics and ultimately the rate of mass loss from the ice sheet. The position is part of the ERC-funded FirnMelt project: Meltwater runoff and retention in Greenland's firn: a process-based
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is expected that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 February 2027. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific