220 computer-programmer-"Multiple"-"Prof"-"O.P"-"U"-"FEMTO-ST-institute" positions at Nature Careers
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better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Multiple funding sources
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better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Multiple funding sources
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humanities who conduct research, teaching, and outreach to advance scientific understanding and develop solutions for the world's pressing environmental problems. ESPM is home to a top ranked Ph.D. program in
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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develop cost-effective semiconductor quantum technology for tomorrow’s quantum internet and quantum computers. As a software engineer, you will help us to streamline our diverse efforts on a variety of
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faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from
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Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement
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for pediatric brain tumor research that will be leveraged for discovery science and preclinical testing by multiple members of the Neurobiology and Brain Tumor Program within the St. Jude Comprehensive Cancer
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security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species