1,575 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers
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The Department of Bioengineering at Stanford University (https://bioengineering.stanford.edu ) and the Arc Institute (https://arcinstitute.org ) invite applications for a faculty position at the
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for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront
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advantageous to complement the existing expertise in genome editing techniques and disease mechanisms across all organs. The selected candidate will develop and maintain a thriving independent research program
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" discipline construction program in forestry engineering, two national key disciplines at the first-level discipline level, and four national key disciplines at the second-level discipline level. It also hosts
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biologist with expertise in functional genomics to support the development and dissemination of CRISPR technologies, guide and support genome‑editing and screening projects, and collaborate with computational
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with a world-class research program, in the school(s) and department(s) best suiting the candidate. Looking for a dynamic individual to join our faculty and lead efforts in this rapidly evolving field
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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a Bachelor’s degree, or equivalent, in science, informatics, engineering or mathematics. A basic understanding of molecular and cell biology and experience of basic tissue culture skills and
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applications from candidates of all expertise, gender identities, nationalities, and cultural backgrounds. Submission: Application website: https://forms.gle/vgMfHSzd7FRSJXg89 Application deadline: Monday, April
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-01-01), together with leading researchers across Europe. You will become part of a cohort of 13 PhD students jointly trained in modern biophysical techniques involving both computational and