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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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of experience working as a test/software engineer, or equivalent experience Comfortable writing code and building automated test frameworks (preferred languages: C#, Python, C, Rust) Knowledge of IEC 62304
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quantitative microscopy (live-cell imaging, high-content screening, or single-cell/single-bacterium imaging) Comfort with image analysis pipelines and scripting (Python), experience integrating ML-based image
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proficient in Python; prior experience with the FEniCS library is a plus; C++ knowledge is an additional asset You have strong computational skills, including the implementation of simulation and optimization
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computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both independently and collaboratively in
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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