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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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, Python and QGIS Good knowledge of geology and hydrogeology in aquitard-aquifer systems Experience in collaborations with partners from consultancy and public authorities Ability to work both in a team and
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environment research experience working with real-world non-linear dynamic data, networks, and ideally with applying coupled oscillator models strong programming skills in e.g., Python previous research
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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machine learning, statistics, time series analysis or similar field Demonstrated ability to conduct outstanding research with measurable impact Experience with Python, especially related to machine learning
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, ideally in Python. Experience with X-ray or neutron tomography data is a plus. Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab