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in either an academic, government or corporate setting. They would also have a PhD or commensurate industry experience/expertise in a Cybersecurity related discipline, such as Computer Engineering
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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on the candidate’s interests and experience. Requirements: Ideal candidates should hold a PhD in the area of data science, computer science, bioinformatics, structural biology, or a related area, and have experience
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prior research and relevant clinical training (e.g. DPT, ATC, DC, MD) is desired. - completion of formal research training program, as evidenced by degree completion (e.g. DSc, PhD or equivalent in one
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, and fosters extensive relationships with stakeholders both internal and external. These relationships span foundations, private sector organizations, state and federal governments, and global entities
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of education and relevant experience. Preferred Qualifications: Education/Training Seeking a PhD or equivalent doctoral degree in computer science, economics, public health, neuroscience, political science
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or clinical research informatics, data engineering, harmonization and architecture. Strong candidates will demonstrate a commitment to innovation and leadership of collaborative clinical research
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
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the 2024/25 Academic year, for students enrolled in the Master of Environmental Management (MEM) program. The two-year MEM is a professional degree, training students for careers focused on solving complex