16 embedded-system "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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systems to answer them. The department currently has 11 primary faculty and, is home to the New York Center for Rare Diseases (NYCRD). Embedded in a highly collegial and collaborative environment
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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: Members of the Open Chemistry team are embedded in the Lavis Lab, a leader in using organic chemistry to build tools for biological research. More information can be found here: https://www.janelia.org/lab
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the Guilliams and the Saelens team. Research Project In this research project you will apply in vivo CRISPR screens to study the functional specialization of liver macrophages. This project is supported by an ERC
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transduction. Our newly renovated laboratory is embedded in the Department of Regenerative Medicine and Skeletal Development at University of Connecticut Health within a vibrant research environment. Candidates
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the Guilliams and the Saelens team. Research Project In this research project you will apply in vivo CRISPR screens to study the molecular mechanisms driving liver regeneration. This project is supported by
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” - https://www.meduniwien.ac.at/web/karriere/karriereentwicklung-an-der-meduni-wien/ ). The gross salary for this position is based on the collective agreement for university employees (§ 49, A2) and may be
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Eyckerman Lab — VIB–UGent Center for Medical Biotechnology, Ghent, Belgium Start date: as of 01/04/2026 | Deadline to apply: 28 February 2026 ABOUT VIB AND THE EYCKERMAN LAB VIB is a leading life
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. metro area. Opportunity to partner with frontier AI labs on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy