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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific vision
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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become an active member of mentored-sponsored extramurally funded research team. Minimum Qualifications Preferences Eligibility Requirements: A PhD (or equivalent doctoral degree) in nursing, or a nursing
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, impact perceptual function in the cortex. Primary methods include computational modeling, electrophysiological data collection and analysis, optogenetics, and behavioral measurement of psychophysical
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the essential functions of the job as outlined in the position description. Preferences PhD or MD/DO/equivalent doctoral-level clinical degree. Type Benefited Staff Special Instructions Summary Additional
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refer sensitive or unusual situations to the incumbent. Problems that cannot be resolved by the incumbent will be referred to the most senior Lab personnel. Minimum Qualifications PhD in biology, genetics
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inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Qualifications The successful candidate should have a PhD and/or MD titles, a good publication record
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comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Minimum Qualifications Preferences The successful candidate should have a PhD and/or MD titles