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modelling; Knowledge of spectroscopy is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication
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programming skills, preferably in Python, with experience in deep learning algorithms Experience with Raman and/or FTIR imaging is a plus High motivation to work with optics and their biomedical applications
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor will be at the Swiss Federal Research Institute WSL in Birmensdorf (approx. 20 min outside of Zurich
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: Experience with NMR spectroscopy and/or single-molecule fluorescence techniques Programming/data analysis skills (e.g., Python, MATLAB) Previous research experience in structural biology or protein dynamics
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in experimental physics Programming skills (Matlab, Python) and experimental experience in electron microscopy and light optical imaging are a plus Additional Information Benefits We offer Our
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analysis in Python is advantageous Previous experience with imaging (especially computed tomography) and/or image analysis is advantageous Excellent communication skills in English (oral and written) are a
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You have an experience in scientific programming using Python for data analysis You can integrate easily in an interdisciplinary research team and have great communication skills Additional Information
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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or soon to be finished Background in protein design, computational biology or related field Working knowledge in at least one relevant coding language (Python, R, or C++) Excellent communication skills and
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). Hands-on laboratory experience with lasers, optics, or photonic devices. Skills in experimental data acquisition and analysis (in Python). Motivation to combine computational modeling with experimental