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Field
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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will work with Pls on collecting data and writing grant reports. Minimum Qualifications: PHD in School Psychology Preferred Qualifications: Fluent in English and Spanish Experience with grant
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WebGIS platforms for climate adaptation planning. Developing climate downscaling communication strategies. Fusing multiple data sources for environmental analysis. Required Qualifications PhD received
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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basic bench research in cardiovascular clinical care, clinical trials to develop new treatments for cardiovascular disease, educational programs for local, regional, and national health care providers
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, including in-house NMR, X-ray, fluorescent microscopy, mass-spec and Cryo-EM facilities. Responsibilities: Plan, design and execute complex research studies, procedures and protocols. Participate in discovery
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, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, quantum information. While this fellowship targets theorists, experimentalists are encouraged to consider
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong