160 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
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lab equipment; computer software/hardware; presentation software; microscopes. Physical Demands and Work Environment Standing, sitting, walking, talking, and hearing. No special vision requirements
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, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and
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to work at a computer for an extended period and must be able to operate specialized laboratory/scientific equipment. No special vision requirements. Ability to lift or exert force up to 25-50 pounds
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. Physical Demands and Work Environment Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period and must be able to operate specialized laboratory/scientific
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. Physical Demands and Work Environment Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period and must be able to operate specialized laboratory/scientific
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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate Department SASN CPRA Salary Details Offer Information Benefits Rutgers offers a comprehensive benefit program
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and brain samples. Regular use of a computer is also required. Overview Statement Posting Details Special Instructions to Applicants Applicants must upload a cover letter, C.V., and the names and
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of RNA polymerase and transcription complexes and/or ribosomes and translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in
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The successful applicant should have a recent PhD degree in a Plant Pathology/breeding or related discipline, such as plant biology, mycology, horticulture, microbiology, and skills and experience in phenotypic
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(classic; Bayesian), machine learning, or other statistical approach with accompanying expertise in whatever stats package(s) is desired (SPSS; R; Stata; SAS; NumPy or PsyPy; etcetera). A strong ability to