23 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Lawrence Berkeley National Laboratory
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materials or chemical modeling--e.g., graph neural networks, ML interatomic potentials, and uncertainty quantification. Strong programming skills in Python (or equivalent), with demonstrated experience in
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in automation programming languages, including Ladder Logic, Structured Text, and Structured Control Language. Familiarity with safety PLC design concepts (redundancy, safety integrity levels, fail
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scientific programing languages (e.g., C/C++, Python, and Matlab). Experience working in a collaborative, multi-disciplinary environment and exhibit good communication skills. Desired Qualifications
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