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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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related field Solid understanding of machine learning, especially deep learning and transformer models Practical experience with Python and ML frameworks (e.g., PyTorch, HuggingFace, NumPy, sklearn) Basic
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programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
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, or similar) and script-based programming (R, Python, or similar) willingness to travel to scientific conferences and workshops and visits to cooperation partners We expect: the ability to work independently
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technologies and laboratory setups. Knowledge of and proficiency with optical software and photonics tools. Knowledge of (Python and C) programming for test data analysis. Knowledge of opto-mechanical systems
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) Programming skills in Stata, Python, or QGIS are a plus Familiarity with Overleaf (LaTeX) is a plus Strong organizational skills and the ability to meet deadlines Ability to work independently and as part of a
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 10 days ago
development, or quantitative MRI (e.g., Python, MATLAB). Strong motivation to work in an interdisciplinary, cross‑species framework. Excellent communication skills and the ability to work within an
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. Experience in careful, practical work in the laboratory is desirable. You have basic knowledge of solar cells and semiconductor physics and are already familiar with laser technologies. You have basic Python
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analyze acquired data from different sources using Python (or Matlab) Support the integration of the additional sensors on floats and perform regular technical monitoring of the AWESOME floats deployed in