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in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering, Electrical Engineering, Data science, Physics, Mathematics, Bioinformatics
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Neuroscience. This position is one of four within a coordinated cluster hire - alongside colleagues in brain circuit imaging, machine learning and artificial intelligence, and research software engineering
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for personalized learning and the integration of technology in foreign language education. In doing so, the project seeks to contribute to both educational practice and policy in the field of digitally supported
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., M.D., D.V.M.). The applicant should have a Ph.D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related field. Expertise in analyzing intracranial
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technology - The degree must qualify the applicant for enrollment in the Doctoral Course at University of Foggia: a second level academic qualification (according to the Bologna Process) or a Master Degree
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Drivers and Mechanisms of Carcinogenesis; 2. Lipid Signaling and Metabolism in Cancer; 3. Imaging, Biomarker Discovery and Engineering Sciences. Overarching themes across programs include Population
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determines physical performance with a focus on exercise physiology, biomechanics and technology. The department is responsible for teaching and conducting research within areas of how physical performance is
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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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Engineering and Applied Sciences Department/Area Kempner Institute and Computer Science Position Description We invite applications for a Postdoctoral Fellow to work with Assistant Professor Kianté Brantley