114 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" PhD positions at Nature Careers
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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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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and optimize methods to measure neuronal activity and morphology.Combine the two methods to detect the cell type and neuronal physiology in one experiment. Computational & Data Analysis Apply advanced
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Smet ( https://desmetlab.sites.vib.be ) and F. Van Breusegem ( https://vanbreusegemlab.sites.vib.be ) have expertise in abiotic stress signaling and in advanced molecular profiling, including mass
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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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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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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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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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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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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