216 computer-programmer-"Multiple"-"U"-"O.P"-"FEMTO-ST-institute"-"U.S" positions at Nature Careers
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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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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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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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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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/administration processes. Contribute to the planning and organising of the research programme and/or specific research project. Further particulars can be found here Informal enquiries to Samuel Watson, email
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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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/administration processes. Contribute to the planning and organising of the research programme and/or specific research project. Further particulars can be found here Informal enquiries to Samuel Watson, email
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of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture
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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