442 parallel-computing-numerical-methods-"DTU" positions at Medical College of Wisconsin
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computational and database methods for implementation. May serve as primary statistician for area. May oversee the work of laboratory personnel including training and development as well as daily work direction
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an active program of independent and collaborative research pertinent to the research priorities of the Medical College of Wisconsin and the Department of Family and Community Medicine, including analyses
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to impact missions. Identify and implement new methods to increase efficiency and quality. Education & Development Participate in design, development and/or evaluation of instructional materials, methods
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trials program. Provide support to the team to facilitate the achievement of the program’s goals. Recruit, train, and supervise staff and manage study budgets. Primary Functions – Clinical Research
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collection kits. Other duties as assigned. Knowledge – Skills – Abilities Knowledge of quality control, customer service standards, information management, procedural process, and recordkeeping. Computer
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across the adult age span. The goal of this program is to provide the fellow with experiential clinical and research training focused on developing advanced competencies in trauma and health psychology
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. Assist with recruiting, training, and supervising staff and managing the program budget. Primary Responsibilities Recruit, screen, enroll and obtain consent from program participants. Conduct or coordinate
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methods to comply with policies and regulations and ensure efficient facility operations. Act as a resource for investigators and support staff and comply with all aspects of the animal care and use program
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career, and advance science and education in the fields of family & community medicine. The faculty member will be expected to develop an active program of independent & collaborative research pertinent
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investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD. The Fellow will contribute to the development of computational brain models of grief and resilience in