18 computer-science-image-processing-"Multiple" Fellowship positions in United States
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at Northeastern. (10%) Required Qualifications: - Ph.D. in Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS
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of Orthopaedic Surgery is conducted by a diverse group of faculty, staff and trainees with expertise in biology, engineering, health outcomes, and healthcare. Our research teams are focused on improving treatment
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direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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. The successful applicant will have an opportunity to work with multiple groups with expertise spanning scientific disciplines and approaches, including oncology, single-cell biology, spatial transcriptomics, high
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that directly relate to this position. Please send cover letter, resume and contact info for two references to Pierre Apostolides, Ph.D. (pierre.apostolides@umich.edu ). The Apostolides Lab has multiple, fully
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. (pierre.apostolides@umich.edu ). Job Summary The Apostolides Lab has multiple, fully-funded positions for postdoctoral fellows to undertake projects related to auditory perception, reinforcement learning, and neural
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion