414 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at Nature Careers in United States
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program, and have experience mentoring and educating graduate and medical students. A highly competitive salary and start-up package commensurate with experience will be provided to the successful candidate
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the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products
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Chemistry and Biochemistry and Biomedical Engineering. The successful applicant is expected to establish a rigorous research program supported by extramural funding, generate peer-reviewed scholarship, mentor
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, TN 38105-3678 Phone: 901-595-4032 Fax: 901-595-4061 Email address: michael.frett@stjude.org Website: https://www.stjude.org/frett St. Jude is an Equal Opportunity Employer No Search Firms St. Jude
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of this enterprise is the Center for Pediatric Neurological Disease Research (CPNDR) [ https://www.stjude.org/research/initiatives/pediatric-translational-neuroscience-initiative.html ]. The CPNDR is
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facilitates rapid collaboration across the globe. By applying our knowledge and expertise in the biological, medical, physical, engineering, computational sciences and AI, to the world’s largest healthcare
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Technologies We seek a computational technology innovator to develop next generation omics platforms for pediatric biology and diseases. Areas of interest include RNA biology (splicing/fusions), CRISPR
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Outstanding Research Opportunity in Cancer-Focused Bioinformatics and Computational Biology at the Lewis Katz School of Medicine at Temple University in Philadelphia Tenure Track Faculty – Assistant
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household. ​ To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates
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Yale Center for Brain & Mind Health (CBMH) Faculty Position: Artificial Intelligence in the Promotio
integrate, advance or develop approaches such as natural language processing, machine learning, computer vision, foundation models, large language models, and other methods. Applicants may work in one