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world. Through collaborative, data-driven research, we integrate ecological, social, and economic data to develop innovative tools and strategies that support resilient fisheries and communities. Working closely
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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/03/31 23:59:59 (posted 2026/02/19) Position Description: Apply
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Department: Information Technology Classification: Info Technology Spec 3 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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Engineering. For more information about the Department of Applied Mathematics and Statistics see https://ams.mines.edu . TOTAL REWARDS Assistant Professor: $98,500 – $111,000 Mines takes into consideration a
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | 1 day ago
-driven scientific initiatives. We already have an existing codebase ( https://github.com/matsengrp/netam ), which we are currently in the process of rewriting to be more flexible and modular. In
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-omics analysis, systems modeling, and predictive simulation of host-microbiome-driven disease processes Translation of microbiome and systems-level discoveries into clinically actionable biomarkers
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: Pioneering the Future of AI-Driven Scientific Discovery! Polymathic AI is looking for full-time Research Scientists to join our team in building next-generation Foundation Models for Science at NYU CDS. Recent
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expand a bold, technology-driven enterprise at the intersection of translational science, computational innovation, and next-generation clinical care. The Senior Director will shape a comprehensive medical
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Engineer III - System Software Engineer to contribute to the design, development, and implementation of software-driven engineering systems that support the next generation of Digital Ag. This role