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; · Scientific programming and data analysis. Experience with absorption systems, ammonia–water mixtures, injectors/ejectors or phase-change phenomena would be an advantage, but is not mandatory. You
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Science, or a related field. Hands-on experience with cleanroom nanofabrication. Familiarity with transport experiments (thermal, electrical) is a plus. Strong analytical and programming skills
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translational research Experience with programming skills in Julia, Python, C/C++ including machine learning and AI frameworks, e.g., PyTorch and TensorFlow Experience with omics data management, data
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Strong programming skills in Python; knowledge of R, Shell, and Linux is an advantage Experience with Git, Docker, CI/CD, and development of ML pipelines Experience with databases, APIs, and
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methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning models on GPU-based systems