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://med.stanford.edu/gruberlab.html (link is external) How to Submit Application Materials: Interested applicants should submit the required application materials by email to Aronne Schwartz, administrative assistant
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approaches combining ab initio modeling, Raman vibrational spectroscopy, and machine learning for the study of electrode materials and their interfaces, with a focus on operando monitoring of full battery
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are seeking to appoint a Postdoctoral Researcher in Computational Materials Modelling to join the Multiscale Materials Modelling Group in the Department of Chemistry. The position is funded under a Research
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in silico models to replicate disease. We are particularly interested in the effects of exercise on the development of bone lesions, and the potential role played by mechanosensitive osteocyte cells in
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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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on small test clusters. Test computational performance and resolve technical challenges on significantly larger models of selected quantum materials. Work on speeding up Krylov solvers on GPUs. Demonstrate
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University (ASU) invites applications for two postdoctoral scholar positions in the area of mathematical modeling to work with Dr. Nina Fefferman. The first position will focus on modeling dynamics
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Academy of Engineering) and is fixed-term for 5 months. You will join the design by fundamentals team, developing material models to guide fusion reactor design. You will be responsible for performing
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related field in hand by May 2026. Preferred Qualifications: Experience in Thermal Spray Materials/Processes/Characterization/Modeling. Experience in Solid Mechanics/Thermomechanics/Finite Element Analysis
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mouse models. · Perform mouse metabolic phenotyping and data analyses (e.g. glucose and lipid metabolism, glucose-stimulated insulin secretion, energy expenditure, and histology) · Apply