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supervision from the Laboratory Supervisor or Principal Investigator (P.I.). The position is responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and
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the design of innovative analytical and computational techniques to analyze,integrate and model multi modal data for the onset and progression of AMD. In doing so,the successful postdoctoral fellow will
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faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from
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environmental challenges while achieving high biomass yields, optimal fiber and chemistry attributes, net positive carbon sequestration, and improved soil health. Through understanding crop physiology, along with
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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ASTRONOMY (BL-AST-IUBLA) Astronomy has a long history at Indiana University, beginning in 1856 with Daniel Kirkwood. The department was founded in 1895. Our doctoral program has produced over 100
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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75 %) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded...
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collaborators and partners Requirements a Ph.D. degree in physics, and adequate postdoc working experience; strong theoretical/computational background in one or more of the following areas: twistronics & moire
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University