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faculty positions. We offer elective coursework, mentorship, seminars, an individual integrated research project, and training in grant proposals and manuscript writing. This program is supported by an NIH
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benefits: Competitive and commensurate with experience; full Stanford benefits included. Required Qualifications: What We’re Looking For: • PhD or equivalent in Neuroscience, Cognitive Science, Computer Science
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, biomedical data science, genetics, and AI. (5) Lead and contribute to peer-reviewed manuscripts, conference presentations, and grant proposals. Required Qualifications: PhD, MD, MD/PhD, or equivalent doctoral
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. A full time computational biology postdoctoral position will become available in 5-6 months. Required Application Materials: A cover letter outlining research interests and career goals CV Address and
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ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics
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demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
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the Woods Institute for the Environment, invites applications for a Postdoctoral Scholar in Wastewater Metagenomics and Computational Biology WastewaterSCAN is a national infectious disease monitoring
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interventions to mitigate the harmful impacts of environmental change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial
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partners in genomics, cancer biology, and clinical research, providing opportunities to work with diverse biological systems and translational applications. Required Qualifications: PhD in bioengineering
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competitive for an instructor position at the end of their training at Stanford, the School of Medicine offers the K12 Mentored Career Development Program,(link is external) which provides didactic training