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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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, enrollment-driven revenue forecasting, and expense modeling. Directly manage key organizational contracts and provide operational support to teams for vendor selection, negotiation, and compliance with
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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-driven cost analysis that informs early project definition, scope development, and delivery method decisions across the capital portfolio. This role ensures that project budgets are credible, comparable
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improving quality and service to our campuses and beyond. We apply best-in-class sourcing methods with emphasis on sustainability and supplier diversity, invest in leading tools and technology, and cultivate
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, Smart City, Matter, Brain, and related interdisciplinary areas. Research fields of particular interest include, but not limited to: • biomedical science and engineering • veterinary science
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27695, United States of America [map ] Subject Areas: Data-driven Modeling, Computational Biology Appl Deadline: 2025/10/02 04:59 AM (posted 2025/08/14 05:00 AM) Position Description: Apply Position
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data, and engineering models to determine why failures occur in complex machines such as heat pumps and chillers. You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be
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software development. E3 Experience in training deep learning models relevant in research projects at scale. E4 Experience of applying good software engineering practices including but not limited
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and