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: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related
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experience to be considered as a Level A: Possess a first degree in law. Hold a PhD in Law, Economics, Finance, Political Science, or a related field, or have equivalent research and/or professional experience
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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-GUESS, which includes a state-of-art representation of land-surface-atmosphere exchange processes regionalization of the model using existing land use maps and integration of a simplified representation
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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work, including through writing peer-reviewed scientific article(s) The ideal candidate: Holds a PhD in a relevant field such as epidemiology, public health, biology, or a related discipline. Has proven
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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At the Faculty of Medicine, Department of Health Science and Technology, a position as Postdoc in Medical Informatics and Image Analysis Group is open for appointment from November 1, 2025 or soon
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of the physical processes driving the region’s water cycle, uncovering the causes of observed changes, and improving our predictive capabilities of future climate trends. This position focuses on applied research