113 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" PhD positions at Nature Careers
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) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers
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Job Advertisement HKI-52/2025 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI): https://www.leibniz-hki.de/en/#, we research the pathobiology
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doctoral candidates with skills in interdisciplinary research, spanning from nanotechnology and materials science to molecular microbiology, biochemistry, and infection medicine to AI-based data analysis
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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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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU
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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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information Further information is provided by Associate Professor Michael Holmboe, e-post: michael.holmboe@umu.se ; web: http://moleculargeo.chem.umu.se/holmboe/ . Welcome with your application! About us The
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backgrounds are welcome. Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during the application process can be found on our website below the respective application
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective