153 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute"-"St" Fellowship positions in United States
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learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine learning approaches, develop an expertise in
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programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we
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, improving prediction of evolutionary trends, and integrating multiple data types for enhanced surveillance. Gaining advanced training in the use of bioinformatics platforms, phylogenetic and phylodynamic
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about the most recent advances in machine learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine
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research priorities. Assists with lab management, compliance, and other program development activities as assigned. May teache one to two courses per semester in conjunction with faculty member, if assigned
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Research Fellowship (PRF) for PhD CS Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Computer Science
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Scope of Job The Puentes Postdoctoral Fellow is a three (3) year grant-funded position under the U.S. Department of Education’s Title V Developing Hispanic Serving Institutions (HSI) program. This is a
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the Standard Quantum Limit (SQL) and enable quantum-coherent readout of multiple devices. Conduct original research both independently and in collaboration with others. Collaborate with researchers at LBNL and
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-careers . Questions should be directed to: Ashleigh Prout, Ashleigh.prout@cuanschutz.edu Screening of Applications Begins: This position may be seeking multiple candidates. Positions will remain open until
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from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused