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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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culture with immortalized lines and primary cells, histological processing and staining, fluorescence microscopy, microCT scanning and analysis, and operation of various cell and tissue mechanical loading
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to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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researchers to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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sections, demonstrated skill in stereotaxic injections, human cerebral organoid models, use of iPSCs and immunology techniques like flow cytometry. Experience with rodent CNS surgery, including vagus nerve
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of iPSCs and immunology techniques like flow cytometry. Experience with rodent CNS surgery, including vagus nerve stimulation, is an asset. Applicants should be highly motivated and creative, have excellent
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy