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, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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cells. Conduct tissue sectioning (cryostat and paraffin embedding) and histological staining. Perform organ culture experiments, including in vitro ovarian culture. FLSA Exempt Grade Salary Details
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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research. The position will provide opportunities to lead manuscripts and presentations, work towards developing an independent research program, contribute to grant applications, and pursue different
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structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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. Proficient with scientific computing and data-analysis software; experience with MATLAB, Python, R, or related platforms is strongly preferred. Experience with intracranial EEG (iEEG/ECoG/SEEG) or multichannel
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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other mycobacteria including the development of resistant mutants, cloning, and gene knockouts. Performs microbiological and genetic characterization different M. tuberculosis strains and M. tuberculosis