228 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Nature Careers in United States
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ambitious, and the opportunity for collaboration with students as well as colleagues is real and constant. For more information on the department, see: https://www.swarthmore.edu/chemistry-biochemistry
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bibliography and names with addresses of two references to the online application. Apply for this position online at: http://apply.interfolio.com/177044 Clinician-Educator Track - Clinical responsibilities
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a specific Faculty job opening as advertised, apply to Florida State University at https://hr.fsu.edu/facultyjobs . If you are a current FSU employee, apply via myFSU > Self Service. Applicants
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(https://bioe.uw.edu/academic-programs/undergraduate/undergraduate-degree-requirements/), master’s (https://bioe.uw.edu/academic-programs/masters/), and Ph.D.(https://bioe.uw.edu/academic-programs/phd
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of California, Santa Cruz, invites applications for a UC Cooperative Extension (UCCE) Specialist at the Assistant rank. For full description, please follow https://recruit.ucanr.edu/JPF00368 This position will
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to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https
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information about the lab check out: https://www.moorelabstanford.com/ . About the role: The role will be in-person with hybrid flexibility and is a perfect opportunity for someone looking for a 1-year, fixed
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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present in Southern California. To find detailed information on this series see: https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-220.pdf The posted UC salary scales (https://www.ucop.edu
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https