65 deep-learning-phd "Computer Vision Center" Postdoctoral positions at Cornell University
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/02/03 11:59PM ** (posted 2025/12/11, listed until 2026/02/03) Description: Apply Description Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates
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this diversity. Our research spans comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced
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always open to diverse expertise and creative ways to approach our research questions. Your Qualifications PhD in cell biology, molecular biology, biochemistry, neuroscience, immunology or related fields
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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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articles and present results at scientific meetings. (30%) Assist in the development of proposals for external funding for research projects. (5%) Requirements A PhD degree in physics, chemistry, synthetic
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comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced statistical methods. Supported by
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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writing. (30%); • Assist in the development of proposals for external funding for research projects. (5%) Requirements Required qualifications: - A PhD degree in synthetic or molecular biology, microbiology
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qualifications: A PhD degree in synthetic or molecular biology, microbiology, biotechnology or related fields. Demonstrated research experience in molecular biology, microbial genetics, genetic engineering, or
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scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex