343 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department; https://anivet.au.dk/en Contact Further
-
simultaneous and quantitative measurement of large cytokine panels, combining deep multiplexing with reduced variability and cost. In this project, you will help build a next-generation, antibody-free
-
We are seeking a highly motivated and creative postdoctoral fellow to join the Sun lab in the Department of Structural Biology at St. Jude Children's Research Hospital. The project focuses
-
have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
-
, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income
-
for a/an ... University Assistant Postdoctoral 52 Faculty of Chemistry Startdate: 2026-05-01T00:00:00Z | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference
-
. Explore more at www.eit.org. Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford
-
real or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field
-
institutes, the Calibr-Skaggs Institute for Innovative Medicines and Scripps Research Translational Institute, which merge foundational studies in biology, chemistry and computer science with translational
-
the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy