2,417 phd-computer-architecture-"Meta"-"Meta" Postdoctoral positions in United States
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after the review date will only be considered if the position has not yet been filled. Position description Applications for the Postdoctoral Scholars are being sought from doctoral (PhD, MD, or foreign
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing
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Program in Agrarian Studies, Yale University Postdoctoral Associates for 2025-2026 The Agrarian Studies Program will appoint three postdoctoral associates for the 2025-2026 academic year, chosen
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and
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upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques
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intervention science. The Post Doctoral Scholar will work closely with occupational therapists and investigators in a collaborative setting. Job Requirements PhD/OTD/ScD/EdD in Occupational Therapy
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optical interferometer for broadband axion-like particle detection. The applicant will be expected to work closely with graduate and undergraduate students. Applicants should have a PhD in physics prior
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should have a recent PhD in plant pathology or closely related fields. The ability to carry out experimental work independently is essential as is the ability to interact with multiple PIs since
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(IRACDA) program . This comprehensive program offers 3 years of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins