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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description at the Division of Biomedical Engineering Department of Materials
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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planning, and troubleshooting. Collaborate closely with principal investigators, postdoctoral fellows, clinicians, and external partners to integrate human tissue–based electrophysiology. Prepare high
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genetics, genomics, high-throughput biology, and data science to gain fundamental, translational, and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/ ). We welcome
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funding and recruitment are currently in progress. Funding : This position is offered in view of submitting a proposal to the Marie Skłodowska-Curie Postdoctoral Fellowship programme. The selected candidate
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 3 hours ago
undergraduate students and 30 graduate students. The department is seeking candidates to join a growing program with a highly interactive and productive faculty. Requirements: Ph.D. in a relevant discipline by
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases
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Centers: Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediate Group or Departmental Website: https://med.stanford.edu/rabinovitchbland (link is
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid