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Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the
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be expected to: Apply computational models (or collaborate with computational experts) for REE–adsorbent interactions. Perform or co-develop environmental impact analyses for REE processing routes
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natural environment. FLDT enables real-time monitoring, predictive modeling, and scenario testing for Florida’s most pressing planning, environmental, and infrastructure challenges. JaxLab plays a pivotal
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Posted on Tue, 12/16/2025 - 13:32 Important Info Faculty Sponsor First name: Barbara Faculty Sponsor Last Name: Simpson Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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environmental determinants of non-communicable diseases, for both patients and public benefit. We are seeking an ambitious Postdoc in Generative Machine Learning for Biomedical Data to support the activities
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. Desired Additional Skills Proficiency with 3D modeling (Rhino, Revit, SketchUp, etc.) and rendering tools. Experience with GIS, coastal modelling, or environmental design tools. Knowledge of marina design
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researchers across campus in ecological modeling, plant physiology, hydrology, environmental science and management, mechanical engineering, computer science, among others. The postdoctoral scholar will also be
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of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department
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. The postdoctoral fellow will carry out research on spatial processes, environmental drivers and adaptive management, addressing the following aims (WP3 in BioM): 1) develop spatial models for forest ecosystems
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predictive models to quantify shrubification risk; and (iii) investigate the implications of shrubification for water markets and policy. Teaching & Engagement: Contribute to climate fluency and sustainability