284 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" Postdoctoral research jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
portal (https://jobs.vib.be/apply/130479 ) before 28 February 2026. Please, provide your CV, 2 reference contacts and a motivation letter.
-
establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
-
ubiquitylation (http://www.ppu.mrc.ac.uk/). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding
-
, leadership, and data science. Special training for writing successful ERC Starting Grants as a ‘ticket’ to an outstanding academic career. Being part of a thriving academic and social community in Vienna, one
-
trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
-
relatives of eukaryotes. Yet, due to the scarcity of cultured representatives, functional insights into their biology remain limited and are mostly inferred from genome data. In this context, you will be
-
Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
-
cultural events including music festivals etc. See e.g. the recent recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html). Aarhus is easily reached through
-
planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work