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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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. In this exciting role and project, you will work under the direction of Prof. Chen-Ting Liao and in collaboration with other researchers for future applications. For additional information about the
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of innovative interventions for mental health problems in (post)colonial Indigenous settings in the USA. Responsibilities Under the supervision of Prof. Joseph Gone, Faculty Director of the Harvard University
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Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence
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Condensed Matter Physics and Materials Sciences o Theoretical and Computational Biophysics o Soft Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and Quantum Algorithm for Computational Quantum Many-body Theory o Theory and Computation
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the inorganic, analytical and materials areas. Job Summary: Prof. Giedroc seeks a postdoctoral research associate as a member of a team of students and postdocs focused on a mechanistic understanding of an
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activity. The College of Medicine is a top 50 Medical School for Research. The 2020 Nature index of Life Science for the University of Cincinnati is ranked as top 100 out of ~3800 Institutes worldwide. Prof
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical