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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale Perturb-seq datasets
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candidate will lead research on the search for interstellar objects or Unidentified Anomalous Phenomena (UAP) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have
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expertise in synthesizing, fabricating, and characterizing materials (conductive metal-organic frameworks, 2D & hierarchical structures, single-atom catalysts, etc.) for electrochemical energy conversion and
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information, and/ or data analysis are strongly encouraged to apply, as these skills will be preferred in the selection process. This appointment duration is up to three years, with reappointment contingent
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experience in one or more of the following areas: · Optical microscope design and construction; · Light-sheet or multiphoton microscopy; · Holography, spatial light modulators, or wavefront shaping; · Laser
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funded. The successful applicant will work in Professor Carlos Argüelles’ group on the development, construction, and deployment of TAMBO Phase 1. Candidates with strong expertise in data acquisition
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economists, physicians, and statisticians—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative
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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high