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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute
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vivo and in vivo 2-photon live imaging. Documented experience with bioimage analysis and relevant software solutions (such as Image J/FIJI, Python, and Matlab). Experience with molecular genetics
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quantitative and analytical skills. A result-oriented attitude and enjoys working in an interdisciplinary group. The following will make you stand out: Programming experience in Python, GAMS or a similar
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implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
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., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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modelling; strong programming and research engineering ability (Python with modern ML tooling such as PyTorch/JAX) and good software practices; familiarity with interactive/agentic settings (e.g., tool-using
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or python to generate plots and analyze data. Qualifications Requirements for employment are: - You have deep knowledge of regenerative biology including dedifferentiation. - You have experience working with
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Experience with volumetric image data Excellent programming skills (e.g., Python, C++, MATLAB) and familiarity with scientific libraries (ITK/SimpleITK, VTK, TensorFlow/PyTorch, etc.) Ability to work