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and supervisors. The PhD project is part of the research project NeuroGen Computing Research Project, which is financed by Novo Nordisk Foundation. Start date is (expected to be) February 1st 2026 or as
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. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating
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for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals
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University (http://bio.au.dk/en) and work in the Section for Microbiology at this department. The section employs 12 permanent scientific staff and ~20 PhD students and postdocs. Research at the section covers
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University (http://bio.au.dk/en) and work in the Section for Microbiology at this department. The section employs 12 permanent scientific staff and ~20 PhD students and postdocs. Research at the section covers
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job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 3351 Is the Job related to staff position within a Research Infrastructure? No Offer Description A 2
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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Associate Professor Arijit Khan, Department of Computer Science. His research works can be found at , https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en , and at https://dblp.org/pid/67/2933.html
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anticipate receiving a PhD in plant molecular biology or related disciplines. Applicants should have: Ability to plan and conduct research project independently Strong background in plant molecular biology and
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of relevance through publications and collaborations Co-supervision of bachelor and master students within the above-mentioned fields Qualifications: PhD degree (or equivalent) in Computer Science, Artificial