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3 to 6 Hours Ability to organize & prioritize - Continuous 6 to 8+ Hours Communication skills - Continuous 6 to 8+ Hours Numerical skills - Frequent 3 to 6 Hours Constant Interaction - Frequent 3 to 6
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conformation to obtain high-affinity binders. 3. Identify peptidomimetics with the ability to inhibit Wnt signaling in cell-based assays. Project Overview: Using different peptide sequences as starting points
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-catenin variants will then be used by collaborators for screening of binders, proteomics pull-down assays and/or condensate formation assays. The ability to site-specifically install small-molecule FRET
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scientific programming skills, particularly in Python. A strong quantitative background and interest in atmospheric and climate science. Good written and spoken English. Ability to work both independently and
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of the project; Good skills in written and oral communication; Abilities for data processing and analysis; LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Additional Information Benefits Work in an
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experience working in a high-performance computing environment Ability to work independently, plan your own work and drive a project forward Documented ability to independently drive research and publish
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find the project details here: https://www.inn.no/english/research/research-projects/UTI-Diag/ https://www.inn.no/english/research/research-projects/OH-AMR-Diag/ The main objective of these projects is
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semiconductors” (https://irtg-optexc.de/ ). As part of this program there is the opportunity for students to undertake fully funded joint degrees with the University of Bayreuth in Germany in the areas
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to describe in their application which direction they find most exciting. The ability to understand, and perhaps even to control, how cells distribute their resources in time and space is one of the central
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
1389-1286, https://doi.org/10.1016/j.comnet.2026.112148 . [2] I. Alla, S. Yahia, V. Loscri and H. Eldeeb, "Robust Device Authentication in Multi-Node Networks: ML-Assisted Hybrid PLA Exploiting Hardware