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. Numerical modeling of Mercury's magnetosphere and ion dynamics 2. MSA instrument data analysis LPP (Laboratory of Plasma Physics) is a joint research unit of the CNRS, École Polytechnique, and Sorbonne
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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discipline. Particular emphasis will be placed on documented skills in: - Structural geology and kinematic analysis. - Geological mapping and structural data acquisition in field. - Geological 3D modelling
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to the projects Further information on the Leibniz Graduate School on Aging (LGSA) can be found at https://lgsa.leibniz-fli.de/ . For the first step, please acquaint yourself with the application procedure on our
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Information Work Location(s) Number of offers available1Company/InstituteUniversity of Applied Arts Vienna CountryAustriaCityViennaGeofield Contact State/Province Vienna City Vienna Website https://www.uni
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communication skills in English (written and spoken); German language skills are advantageous but not required - Prior experience in medical AI or clinical data analysis is a plus What We Offer - A structured PhD
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pollen sequences available in three target areas (Alps, Pyrenees, Jura) • Data Analysis: Perform regional and local analyses of past land-cover (plant, group of land-cover types) using pollen databases and
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information, please see the PhD Regulations . Experience from data science or relevant laboratory work. Fluency in written and spoken English in agreement with the admission criteria for the PhD program. For
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and advanced data analysis. Essential Job Duties Hardware design of pressure monitoring systems. In vivo data acquisition. Data analysis and report writing. Basic Qualifications PhD in biomedical