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statistical analysis of large-scale datasets, especially metabolomics and transcriptomics. Experience with programming language (e.g. Matlab, R or Python) and statistics. Motivation to work in an international
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skills in quantitative data collection, management, and statistical analysis Excellent coding and programming skills (e.g., Python, R, Stata) Strong interest in research in the fields of sustainability
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seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in
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machine learning techniques. Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git). Strong publication record in reputable
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset