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, or knowledge graph construction. Familiarity with gene regulatory network inference or multi-omics data integration. Background in metabolic engineering, microbial physiology, or industrial biotechnology
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, Sweden. Become part of our group and contribute to exciting research in the field of organic electronics within a collaborative and dynamic environment. About us The Müller Research Group focuses
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. The GLYCOCALYX Network will train 15 PhD Fellows in chemistry, physics and biology methods and concepts required to resolve the dynamic organisation of glycocalyces. The project will establish a new level of
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National Institute of Research and Development for Electrochemistry and Condensed Matter | Romania | 18 days ago
/0471140864.ps1211s68. Kaltashov I.A., Eyles S.J., Mass spectrometry in structural biology and biophysics: architecture, dynamics, and interaction of biomolecules, D M. Desiderio (Ed.), vol. 45, John Wiley
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
of Animal Behavior, we are looking for a highly motivated Postdoc. The department offers a position for 2 years: Postdoctoral position (m/f/d) 100 % - “Decision-Making in Motion: From Neural Dynamics
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22nd March 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Modelling Snow Processes in Mountainous Regions Apply for this job See advertisement UiB - Knowledge
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission
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magnetospheric physics, focusing on Mercury's ion dynamics. Its primary goal is to enhance our understanding of the role the planetary ions play within this environment by examining their composition, life cycle
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure