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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics may include—but are not limited to—AI-based grid operation and planning, reinforcement learning
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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis
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Qualifications Applications are due on Wednesday, February 4, 2026 at 11:59 pm ET. Our selection process includes a coding exercise, a first-round interview, and a final round interview. We expect to share
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record of disseminating research through impactful publications and presentations (at least 3 first author publications
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that illuminate biological processes in hundreds of human pathogenic viruses. Through this systematic view, we seek to answer fundamental questions in virology: What is the true coding capacity of viral genomes
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Candidates may be asked to undergo an assessment as part of the interview process. Special Instructions These are term positions starting July 2026 (start date flexible) through June 30, 2027, with
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R