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implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 13 hours ago
stem cells. 2) Functional genomics of noncoding regulatory variation Projects will use massively parallel reporter assays, CRISPR-based screens, and genome editing to test noncoding variants, map
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knowledge of a variety of biological areas of research with 0+ years of experience within the field. Scientific and numerical programming in Python or R and knowledge of class ML methods and deep learning
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Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop
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programming (Stata, with opportunities for R or Python) Study design and analytic methods (cross-sectional, longitudinal, quasi-experimental designs) Manuscript preparation and scientific writing
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, materials, components, and products that is being developed in parallel within the project team. It quantifies how process and recycling yields depend on composition and makes that knowledge usable
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processes, system features and functionalities as indicated. *Develop and determine system specifications, including timelines and functional specifications, translate specifications into programming
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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical