201 computer-programmer-"Multiple"-"U"-"O.P"-"University-of-Exeter"-"U.S" positions at Nature Careers
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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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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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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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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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/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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/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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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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learn mathematical modeling and quantitative analysis Ability to program in at least one of the following languages: Python, MATLAB, R or C Evidence of outreach, mentoring or community building. Required
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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