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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. Excellent abilities in communication, teamwork, and
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and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
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and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
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: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and
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. Excellent manufacturing, experimental, and numerical analysis skills, including proficiency in programming, Abaqus, and Ansys, are required. Application Instructions For consideration, applicants need to
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to conduct independent research. The candidate must be within 5 years of receiving the Doctoral degree. Applicants should have research experience in at least one of the areas above, strong programming
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: Statistics and Machine Learn
related area. Proficiency in programming (e.g. Python) and experience with commonly used machine-learning and AI tools. Strong publication record in leading conferences or journals. Excellent English
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computer engineering degrees with previous experience in natural language processing; or computational linguistics/language technologies degrees; (b) strong programming skills and machine learning