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Python for code development and ML model training and inference, demonstrate excellent communication skills and be fluent in English, show strong interpersonal skills and the ability to work in an
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strong familiarity with earlyfusion Deep Learning approaches. Software: programming capabilities in C/C++, Python. Embedded systems: Strong familiarity with embedded Linux, real-time operating constraints
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‑coupled device characterization Hands-on experience with simulation and design tools (e.g. Lumerical, RSoft, IPKISS, Cadence, LEdit, Zemax, TCAD, HFSS) Good programming and scripting skills (Python is a
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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. Proven ability to work both independently and collaboratively in multidisciplinary environments. Excellent English written and verbal communication skills. Preferred Qualifications Python proficiency and
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our