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Ph.D. in molecular biology, cell biology, biochemistry or neuroscience. Prior research experience in mouse models, and/or membrane trafficking and lysosome biology will be a plus. Interested candidates
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superposition approach to predict HEA material responses at high beam power conditions, and the results will be validated against new test data. The combined optimum testing matrix and robust modeling techniques
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), structural health monitoring, and smart manufacturing systems Design and execute experiments involving ultrasonic, electromagnetic, and other material testing techniques Develop and apply computational models
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experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in building a research program at the
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explores novel myeloid cell-based immunotherapy against intraperitoneal metastasis of ovarian cancer using mouse models and patient samples as well as state-of-the-art technologies such as spatial multi
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models. A PhD in immunology or cancer biology is required. Candidates should have at least one first-author peer-reviewed publication. Interested individuals should apply by submitting a CV, a one-page
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, tumor immunology organotypic in-vitro models, genetically engineered animal models and human tissues from clinical trials. All these approaches are brought to bear on impactful questions in tumor
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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conditions on freezing rain and its influence on structural ice load standards in the U.S. The successful candidate will work with cutting-edge climate data, environmental hazard modeling, and structural
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clays and oxides, a process known as chemical weathering and taking place in soils or affecting atmospheric mineral aerosols. There is now ample evidence that forests are under increasing nutritional