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Field
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), Technische Universität München Startdatum: Oktober 2025 - ENGLISH: PostDoc and PhD positions in Quantum Simulation Theory, Positions: 2-3 years (PostDoc) & 3-4 years (PhD), Location: School of Natural
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materials recovery,CO2 electrolysis and fuel cells. Experimental work will involve design, characterization, and degradation studies of model interfaces that can help elucidate their degradation mechanisms
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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data to identify proteomic signatures and develop novel predictive models for Alzheimer’s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis
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the well-being of Utahns and beyond. These guiding principles shape a bold, modern model of higher education—one that embraces place, fosters resilience, and leads with purpose. In service to that mission
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stakeholders, advance system design, and translate emerging technologies into pilot-scale applications. What You’ll Do Design, model and optimise microgrid systems using energy analytics and advanced simulation
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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simulation, and applications of nuclear science. A primary mission of PHY is to operate the Argonne Tandem Linac Accelerator System (ATLAS) as a national user facility for low-energy nuclear physics. Position
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models/tools. Experience with large, varied datasets. Experience working with soil, water, and plant sensors and remote sensing technology. Other Requirements: This position requires physical activities
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interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare