215 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "FEUP" Postdoctoral positions in Denmark
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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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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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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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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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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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relating to 19th-century science. Experience with archival work and/or knowledge of Scandinavian languages is an advantage, though not a requirement. Please include a research plan (max. 1000 words
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programming experience with Python and/or Matlab Experience with advanced MEG/EEG signal processing and/or machine learning is desirable Strong interest in translational research and developmental neuroscience
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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