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Proficiency in scripting and programming (Python, Bash, Git) We count as an advantage your possible experience with (optional technical skills): Experience with Sensitive Data environments (Trusted Research
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proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both
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head models. Experience in preparing ethics applications and protocols for tTIS studies. Excellent programming skills, particularly in Python. Experience in research projects and scientific data
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engineering or a related field. • Experience designing, deploying and operating large-scale genomic or biomedical data processing infrastructures. • Strong programming skills (Python, Bash and/or similar
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integration and trajectory inference Proficiency in Python and/or R Interest in developmental and human biology is highly valued, but not required Strong collaborative mindset and ability to work across
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programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness
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Python and experience with GPU processing of large-scale datasets. Excellent written and oral communication skills in English. We also value applications from people with the following experience
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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related
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Python and experience with GPU processing of large-scale datasets. Excellent written and oral communication skills in English. We also value applications from people with the following experience
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skills Proficiency in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS