216 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "Inserm" Postdoctoral positions in Denmark
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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Application deadline December 1, 2025, at 23:59 CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3144
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processes such as membrane distillation to achieve the desired recovery. The work will be as part of the European project BeyondBattRec (https://www.beyondbattrec.eu/ ) that involves 12 industrial, academic
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. Experience with safety-critical control systems. Experience in programming and developing maintainable software. Furthermore, the successful candidates are expected to: Have excellent knowledge of English
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programme cohorts. Facilitating collaboration between academic staff, students, and external stakeholders to ensure smooth and effective programme delivery. Supporting dissemination, evaluation, and quality
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research experience in wetland biogeochemistry Experience with stable isotope analysis and modeling Proficient quantitative skills with data analysis and programming in R An ability to collaborate within
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning