12 machine-learning-phd Postdoctoral positions at Cornell University in UNITED-STATES
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations
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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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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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– Transdisciplinary Agroecology Seeking a postdoctoral associate with PhD research and training in social science fields related to transdisciplinary agroecology, such as critical agrarian studies, sociology, political
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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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next 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
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%); • 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, biotechnology
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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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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master's/undergraduate researchers across multiple universities and organizations