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structural biology (cryoEM), proximity labeling (TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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(RBHS). The primary purpose of the Postdoctoral Associate is to work on research project investigating the neural mechanisms of sensory perception, learning, and decision-making. The laboratory uses state
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related field. Strong background in solid mechanics, materials physics, and crystallography. Experience developing tools using Python, C/C++, MATLAB, etc. Demonstrated ability to conduct independent
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mechanisms appropriate to the theme; examples include research grants, undergraduate fellowships, curriculum integration, industry partnerships, conferences and symposia, and visiting scholars. Key
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, to join our Research Council of Finland project COFCELL. Our research focuses on the use of mechanochemical and related solid-state synthesis approaches to make materials under solvent-free or low
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Qualifications PhD in Civil Engineering, Mechanical Engineering, Applied Mechanics, Materials Science, Physics, or a closely related field by the start date. Strong background in solid mechanics, structural
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Environmental Science and Technology Consortium) project, supporting the operation, evaluation, and development of AIRPACT (https://airpact.wsu.edu/), the regional air quality forecast system that provides daily
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failure modes of electrical machines and their effects on vibration behavior are simulated. To this end, you will first adapt existing finite element models (FE) to represent mechanical faults. You will
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develop novel materials and systems necessary to effectively manage renewable energy sources. 【Keywords】Hydrogen production,Water electrolysis,Electrochemistry,Catalytic chemistry,Spectroscopy,Solid-liquid