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, particularly via immune cell death pathways. Building on these insights, we collaborate with a network of chemistry and immunology laboratories to develop innovative anticancer strategies designed to stimulate
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information design, (iv) strategic communication on networks, (v) information transmission with coarse messages. The post-doctoral researcher will participate in the scientific activities of the ANR SCOCOS team
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a well-connected research campus (public transport) and best networking opportunities, subsidy for the Deutschlandticket if certain conditions are met (job ticket) individual opportunities for further
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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
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, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize
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PyGIS • Networking ability (SNCF, private partners, CNRS research networks) • Good listening skills and ability to work in a team Additional Information Work Location(s) Number of offers available1Company
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University of California Riverside School of Medicine | Riverside, California | United States | 7 days ago
Riverside. The Obenaus laboratory undertakes a range of studies on how brain injury temporally evolves in both adolescents and adults. For these positions, we are interested in how the cerebrovascular network
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the operation of complex trapped ion, cold atom or molecule; or similar experiments. It is desirable that the post holder has experience of UHV assembly procedures; the artiq control system; the theory
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related field. Proven experience working with large or complex datasets, including proficiency in statistical software such as SAS, R, or Stata. Strong written and verbal communication skills, with
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biology through single-crystal neutron diffraction techniques. This position focuses on visualizing critical hydrogen atoms in carbohydrate-binding proteins and their complexes using neutron diffraction