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, Merced is seeking a postdoctoral scholar to work on an NIH-funded project (Project Number: R35GM163973) focused on biomolecular simulations and machine learning applications in biological systems
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the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and validate the model by comparing the results to experimental observations. 4) Support the
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to effective therapeutic strategies targeting IDPs Collaborate on the development of open-source machine learning tools to support these therapeutic designs Work closely with high-throughput screening teams
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other computer skills. Preferred Qualifications Prior experience in at least one of the following areas is highly desirable: (a) strong understanding of metabolism, such as the roles of lipid oxidation in
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models motivated by biological and therapeutic applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and
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& Occupational H Overview With its broad and multidisciplinary faculty expertise, the Environmental and Occupational Health Sciences Institute (EOHSI) is an international resource that supports basic and clinical
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models