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sensing-based flood detection and mapping, and geospatial modeling. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s
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Modeling and Geospatial Analysis. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre
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developing novel materials with engineered properties that go beyond those found in nature. Responsibilities Metamaterial Design and Simulation: Use electromagnetic modeling and simulation software, COMSOL
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of complexity theory, systems thinking, and simulation modeling. • Stakeholder management, marketing strategies, and customer satisfaction modeling. • Both basic and applied research, including contract research
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Materials Characterization; Biomaterials, Bioinspired and Self-Assembled Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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is part of the newly funded Research Council of Finland project Redefining Inner Boundaries in Solar Wind Models (RIB-Wind), led by Dr. Stephan G. Heinemann. The preferred start date is October 2025
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the European Union. Job Description Researcher II will work in the Plasma Diagnostics and Modeling group. He/she will be primarily responsible for measurements using optical emission spectroscopy, mainly using streak
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European Structural Funds and recognised as a Key Technology Centre (KET) by the European Union. Job Description Researcher II will work in the Plasma Diagnostics and Modeling group. He/she will be primarily
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
. Applicant must have (or expect to obtain shortly) a Ph.D. in Biological Sciences or related field. Experience with Neuroimmunology and/or Immunology is highly preferred. Proficiency in mouse models of disease