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physiology, mechanical, environmental, biomedical engineering or similar discipline Experience in physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable
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, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field. You should have a solid foundation in machine learning and strong programming skills (Python, deep learning
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Experience with femtosecond lasers and/or quantum optics is a plus Experience with scientific programming and data analysis (Python, MATLAB, or similar) is a plus Communication and team-working skills We
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programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently while contributing effectively to an interdisciplinary and
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Distributed Fibre Optic Sensing - Solid analytical and problem-solving skills - Programming experience (e.g., Python, MATLAB) and experience operating on large datasets - Ability to work both independently
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in English (written and spoken) and willingness to work as part of a team Familiarity with Python, MATLAB or similar for data analysis Familiarity with numerical modeling tools (e.g. OpenSees, Abaqus
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editing Single-cell sequencing technologies or immunopeptidomics Transcriptomic or genomic data analysis (R/Python) We offer you A fully funded PhD position within an ambitious and collaborative
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related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use
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. Technical Skills Proficiency in remote sensing (satellite image processing, GIS, photogrammetry); Programming skills for geospatial analysis: Python (rasterio, geopandas, scikit-learn) or R
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advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary research and