437 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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species. Experience in a basic or applied science research setting preferred. This could include academic, industry, or non-profit. Ability to learn tasks quickly. Excellent skills in Microsoft Office and
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species. Experience in a basic or applied science research setting preferred. This could include academic, industry, or non-profit. Alternative combinations of education and experience will be considered
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: Bachelor's degree in Computer Science, Engineering, business or related field of study required. Master's degree preferred. Minimum Experience: Minimum requirement: 5+ progressive years of IT industry
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commensurate with their experience. St. Jude offers generous start-up packages, including full salary for faculty and support staff; equipment funds; state-of-the-art chemical and computational facilities; and
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commensurate with their experience. St. Jude offers generous start-up packages, including full salary for faculty and support staff; equipment funds; state-of-the-art chemical and computational facilities; and
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of Engineering and Applied Science (SEAS), the department of Electrical & Computer Engineering is announcing an open rank faculty position at the assistant, associate or full professor level in the field
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applying engineering and computational approaches to problems in biology and neuroscience. Working closely with members of the MCN-NET (Neuroengineering Team) and JET’s mechanical engineers and fabrication
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of the procedure and preventive maintenance manuals to reflect current practices. Collect quality data, as assigned, and assist in Quality Program initiatives as required. Comply with all standards/ requirements
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medicine physician or radiologist with subspecialty training in Nuclear Medicine, Molecular Imaging, and Theranostics to lead a dynamic program central to St. Jude's mission of advancing cures for children
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training