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Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be
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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 dissemination
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computer software for analyzing 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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, comparative medicine, food safety, bioinformatics and One Health. Our research covers everything from production animals to sports and pet animals, laboratory animals and wild animals. The department's
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their associated and underlying genetics. Specifically, it will examine parallel evolution of genomic divergence, gene expression levels, and alternative splice variants to query and evaluate topical questions in
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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, data mining and machine learning, big data processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing; (iii) Experience in
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. Decoding Temporal Windows for Mitochondrial Intervention Across Species Using Data-Driven Approaches (available as IPhD) Supervisor: Alberto Sanz MSc choices: Biomedical Sciences, Bioinformatics
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-regulatory elements and proteoforms. Translation-regulatory elements typically reduce translation of the primary coding sequence, whereas proteoforms are different protein isoforms translated from the same