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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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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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, Vehicular Communications Experience in system modeling and simulation of communication systems Strong programming skills in MATLAB are required; experience with Python, C/C++, or GPU-based computing is an
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Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models is an advantage Strong analytical thinking and
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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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, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical, problem solver, and programming skills for Python and Matlab are preferred Experience