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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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experience in machine learning or AI; proficiency in Python and a deep learning framework; experience designing and evaluating computational models; and demonstrated scientific writing and collaboration
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experience in machine learning or AI; proficiency in Python and a deep learning framework; experience designing and evaluating computational models; and demonstrated scientific writing and collaboration
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environment on molecular design projects Skills with python, PyTorch and OpenMM programs Required Application Materials Cover letter CV Names and contact information for 3 professional references
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papers and help build out a custom GPT toolset based on those papers. Work on additional IT-based tasks as assigned. Desired Qualifications Python coding and AI platform setup. Prior experience in
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method. Proficient in python and C++ programming language. Special consideration will be given to candidates who are familiar with the open-source finite element library FeNiCS, brain finite element
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bioinformatics preferred. Familiarity with RNA or biomolecular structure data (e.g., PDB, DSSR annotations) is a plus. Proficiency in Python; experience with deep learning frameworks (e.g., PyTorch
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error correction codes and/or decoders for quantum error correction Experience with Python programming Experience with high-performance computing Experience with machine learning (theory and/or
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independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
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methods to biological systems Proficiency in Python programming Excellent written and verbal communication skills First-author peer-reviewed publication(s) Desired Qualifications Experience