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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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ample opportunities for direct validation in biologically relevant settings. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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in R and/or Python Excellent communication skills and fluency in English (oral and written) Independent, proactive, rigorous, results-driven, solution-oriented, and a critical thinker Collaborative
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communication skills in English.-A collaborative and curious mindset.-Experience with biological or solid-state nanopores, DNA nanotechnology, single-molecule microscopy, or programming/data analysis (e.g., Python
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to learn are essential. Solid programming skills in Python and/or R; experience with reproducible workflows (Git, Snakemake/Nextflow, containers) is a plus. Interest in cancer biology, tumor microenvironment
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such as XBeach, SWASH, Watlab or CFD modeling is an asset Programming skills (Python, C++, MATLAB, or Fortran) are required Excellent analytical and problem-solving abilities along with a good team-spirit
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includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: An MSc (or equivalent) in structural biology, cell biology, biophysics, bioengineering
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economics, market design, and policy-relevant research. Experience with numerical, computational, or simulation-based methods (e.g. Matlab, Python, R, or similar); experience with statistical software is an
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or geospatial data and Explainable AI or causal inference; strong programming skills (Python required); the ability to work in an interdisciplinary medical–AI–public-health team; Good command of English