211 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions in Denmark
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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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. The host lab is located in Copenhagen Biocenter that also houses the Biotech Research and Innovation Centre under the Faculty of Medical Sciences. Further information on the Department can be found at https
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in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Technical
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://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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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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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position
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also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme
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barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis