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the remotely sensed LST to compute the spatial statistics, run the HydroBlocks model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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Stimulation We seek a highly-motivated individual to conduct research on computational modeling of cortical neuron activation by transcranial electric and magnetic stimulation (TES and TMS). We have an NIH
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, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
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Minimum Qualifications The candidate should have a Ph.D. in chemical engineering, mechanical engineering, chemistry, physics, or materials science with a computational modeling focus. Experience 0+ years
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independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career. Conduct research on computational modeling of cortical neuron activation by
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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biology, computational biology, and animal medicine. With these expertises, the DHVI is working collaboratively to develop vaccines and countermeasures against pathogens like HIV, SARS-CoV-2, and influenza