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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics, optics, photonics, applied physics, electrical engineering, or a related discipline, earned no
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contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 600 people from all over the world, and they make use
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spanning membrane science, chemistry, physics and engineering. You will design, construct and operate membrane-testing equipment, conduct experiments using polymeric and inorganic membranes and apply
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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, building technology, material science or a related discipline. Candidates without a PhD but with equivalent research experience and expertise may also be considered for an alternative appointment as a
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a manuscript to a scholarly journal Make a paper presentation at a professional meeting Co-develop a practitioner-oriented output (i.e., related to a decision framework) Interact with faculty, PhD
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university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University
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requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 29 days ago
and unintended demographic consequences of medical progress. Our mission is to advance the field of medical demography by building on existing approaches and developing new conceptual, methodological