56 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Cornell University
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods
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health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
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Biomedical Science related Master´s degree or DVM degree in addition to a PhD are preferred. This position will require attention to detail, leadership abilities, problem-solving skills, and a passion for
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degree or DVM degree in addition to a PhD are preferred. This position will require attention to detail, leadership abilities, problem-solving skills, and a passion for hands-on work, and caring
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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Requirements A PhD in Biochemistry, Molecular Biology or Cell biology. A requirement for the position is evidence of peer-reviewed publications in a related field, and general enthusiasm for science. Skills
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researchers, including the Cornell Institute for Digital Agriculture (CIDA). What We're Looking For: DVM and/or PhD (or equivalent) in veterinary, animal, or biological sciences. Experience or strong interest
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for presentation 10% of the employee’s time will involve the mentoring of undergraduate or graduate students 10% of the employee’s time will involve professional development Requirements A PhD in Biochemistry
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Requirements A PhD in Biochemistry, Molecular Biology or Cell biology. A requirement for the position is evidence of peer-reviewed publications in a related field, and general enthusiasm for science. Skills