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on wetlands. Further information on the Department is available at https://ign.ku.dk/ Further information on the Global Wetland Center is available at https://globalwetlandcenter.ku.dk/ Inquiries about the
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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general programming tools (such as Python) is desirable. For further information about the research project, please contact Professor H.C. Kongsted: [email protected] . Information about the department is
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, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools. Experience with one or more relevant methods
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environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be considered an advantage. The successful candidate should have strong analytical skills, good
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interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https
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Denmark. More information about the research group is available here: https://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with