24 programming-"the"-"DAAD"-"IMPRS-ML" Postdoctoral positions at University of Maryland, Baltimore
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training and employment programs The University of Maryland, Baltimore is an Equal Opportunity, Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard
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algorithm, magnetic resonance (MR) image analysis, Unix/Linux Shell programming, FSL, SPM, AFNI, C/C++ programming is preferred. To Apply Please email a detailed CV, along with a brief description of relevant
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Parkinson’s disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The candidate must also
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. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment programs The University of Maryland, Baltimore is an Equal Opportunity, Affirmative Action
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. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment programs The University of Maryland is an equal opportunity , affirmative action employer. All
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to screen for effective drug therapies to combat these and other CaV 2.1 channelopathies. In addition, the successful candidate will be given opportunity to develop an independent research program
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Parkinson’s disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The candidate must also
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experience, the applicant can expect to receive career mentoring from faculty of various backgrounds (clinical and fundamental science) in developing a research program, writing research proposals, and to
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. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment programs The University of Maryland is an equal opportunity , affirmative action employer. All
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at the University of Maryland, School of Medicine is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences