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, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics formulations and code to solve problems related
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for postdoc researcher to work on cloud-assisted control and estimation systems. The desired expertise includes control theory, optimization, and machine learning. Strong programming skills are also needed
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technical support functions. Unit Position Summary At ILLIDAN Lab + Bin Lab at MSU, we are seeking a dedicated and innovative part-time Machine Learning Researcher to join our groundbreaking project on drug
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computer. The program will provide training and support on navigating needed technology however, it is important that members are comfortable with technology and/or willing to learn. Members will be working
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learning, computer vision, and vehicle control. The selected candidate will spearhead the creation of innovative algorithms to empower high-speed autonomous racing. Expectations include taking the lead in
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across campus or similar organizations. Excellent interpersonal, organizational, verbal/written presentation and computer skills including database management, electronic record-keeping, and interactive
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classical and machine-learned force fields to study key questions around these topics. By using and developing these molecular simulation tools, the Vermaas lab seeks to create a molecular-level picture of
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access to programming for communities. We commit to continuous learning for diversity, equity, and cultural competency, in order to achieve inclusive excellence. We understand that diversity, equity, and
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annual performance reviews and mutual agreement. As a critical team member, the chosen candidate will have the unique opportunity to develop and teach dynamic undergraduate courses in computer operating
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analysis and other mathematical methods with machine learning/deep learning algorithms for the predictions of molecular biological properties, drug discovery, single-cell RNA-seq data analysis, and viral