140 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
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communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities This research over a large span of life science topics and technical approaches, including
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, molecular biology, and/or computational analyses. The postdoc will have the opportunity to guide the research of an undergraduate research assistant, if desired. Mentorship is a core mission of the Oldenburg
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the highest commitment to excellence in scholarship. Position Status Full Time Posting Number 25FA0633 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience PhD degree in
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a PhD or equivalent degree and a record of academic excellence. Excellent communication skills and the ability to work independently and collaboratively are essential. We offer a competitive salary
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also be expected to be highly collaborative and train and mentor undergraduates in scientific research projects. ESSENTIAL DUTIES & RESPONSIBILITIES INCLUDE: 1) Computer simulations of protein structure
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bio-statistical tools, with effective communication skills oral and written. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word
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, qPCR, and other equipment as needed. Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period
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computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment Utilized Physical Demands
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Qualifications Minimum Education and Experience PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field. Experience in collecting and analyzing neurophysiological
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renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in LGBTQ+ public health research