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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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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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Builder, and community-scale building energy tools such as UrbanOpt; advanced experience with regulatory economics modeling software may be substituted o Strong quantitative skills, with the ability
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. Experience with data analysis software (e.g., SPSS, R, NVivo) is highly desirable. Evidence of scholarly productivity, including publications in peer-reviewed journals. Strong written and verbal communication
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research on health outcomes and environmental data. Experience in qualitative research or community engagement. Equipment Utilized Computer literate with proficiency in statistical and analytical software
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the Postdoctoral Associate or by others in the research group, by collaborators in other groups or from publicly available datasets. The project may also involve use and development of software programs for analysis