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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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characterisation techniques is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication skills and
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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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a background in ultrafast spectroscopy and photochemistry to join our interdisciplinary team. Laboratory website: https://oppermann.chemie.unibas.ch/en/ Project background To capture molecular
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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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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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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
understanding of maths and physics experience in programming, preferably in Python prior experience in machine learning, computer vision and remote sensing and strong interest to apply these skills
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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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. This position is primarily linked to the EU Horizon Europe project titled ‘Renovation with automation and optimization of processes and products’ (RENOMIZE) (https://cordis.europa.eu/project/id/101192326 and