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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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. The Department of Cell Biology is looking for a postdoc candidate to conduct research on tissue morphogenesis using zebrafish as a model system. The candidate will ideally have a training in
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and dynamic wave propagation, in particular: (i) developing domain decomposition methods, (ii) damage models, (iii) nonlinear mechanics. 2) Validate the model by performing simulations using
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packages in Python. 3)Validate the model by collaborating with the Mayo Ultrasound laboratory. 4)Support other research and educational activities of the PI through grant writing and graduate student
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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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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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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, 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