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The Position Program Start Date: January - December 2026 (can be flexible within this time frame) Location: South San Francisco Length of Assignment: up to 4 years Education Level: Recent graduates
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areas: infrastructure systems modeling, emissions inventory development, air quality modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and
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, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. The postdoc will be affiliated to the Department of Molecular Biology and
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for these systems. Duties will include conducting computational research work centered on developing new computational methods for simulating complex chemical and physical systems; leading manuscript preparation
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Job Description Who are we? The Texas A&M Transportation Institute (TTI) is an agency of the State of Texas and member of The Texas A&M University System. For 70 years, TTI has addressed complex
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patients with hearing disorders. You will join a collaborative environment where your technical expertise in computer vision will contribute to clinical applications. Our team are now expanding our work
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infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop dynamic models. Model complex interactions between physical systems (infrastructure) and digital
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About the role We are seeking a highly motivated, a postdoctoral researcher in computational biology. We investigate how immune cells interact with their environment in the human gastrointestinal