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statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
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computer science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages
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SWAT and MODFLOW. Exceptional Fortran programming expertise is essential and will be a major selection criterion. The selected candidate must be able to read, understand, modify, extend, compile, debug
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 11 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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develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
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, and reproducible code development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to
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Requirements Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific
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team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel
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cellular endpoints. In parallel, the fellow will perform complementary functional studies to investigate tumor cell state, lineage programs, and therapeutic response. This work will incorporate a broad