50 data-"https:" "https:" "https:" "https:" "https:" PhD scholarships at Nature Careers
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LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
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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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information, through make-on-demand compound libraries, and in vitro based cell systems. The aim is to find specific and selective inhibitors that will change how cancer cells grow and that can eventually be
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Deadline : April 15th 2026 · Selection Process : Mai 2026 · PhD Start Date : September-October 2026 How to apply All information are provided on the website of the project : https://www.eu4greenfielddata.eu/
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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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modeling Programming/scripting skills (e.g., Python, R) for data handling and visualization Strong interpersonal and cross-disciplinary collaboration skills What We Offer Innovative Research Framework
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collection of original survey data - Development and implementation of experimental studies - Writing and contributing to scientific papers for peer review - Presentation of findings at national and
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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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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