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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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applications (Python, C/C++, or related languages) Further information about this position is available via email from Assistant Professor Mubashrah Saddiqa (msad@mmmi.sdu.dk ) or Torben Worm (tow@mmmi.sdu.dk
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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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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
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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NextFlow is a plus. Programming experience is required (Python, R). Previous experience in Genomics data analysis Strong analytical, organizational, and record-keeping skills Interest in working in a
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, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including