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learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a key focus across four application domains: bioinformatics, plant breeding, biomaterial
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Overview: A postdoctoral position is available in the laboratory of Dr. Salil Garg (https://medicine.yale.edu/profile/salil_garg/ ), Assistant Professor in the Yale School of Medicine. The Garg
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or
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Title: Immune Health For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications Screening continues until position is filled. Job Code: 00003820 POSTDOCTORAL ASSOCIATE
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to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be
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insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
staff directly supporting research. The Hige lab is interested in circuit and molecular mechanisms of learning and memory. We use Drosophila as a model system and take advantage of the combination
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
-processing and machine-learning algorithms that account for skin pigmentation, low perfusion, and motion. Work with UNC clinical collaborators on IRB-approved human-subjects validation studies, including