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strengths of the University of Tübingen in Computer Sciences and Machine Learning. Potential research directions include, but are not limited to, phylogenetic, demographic, ecological and biogeographic
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Association is Germany's largest scientific organisation. Where to apply E-mail bewerbungen@gfz-potsdam.de Website https://gfz.concludis.de/prj/shw/2190834cf569ffab46854f84b2124104_0/11161/Wisse… Requirements
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. Applications from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni
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in chemistry, physics, materials science or a comparable field of study and are currently planning to write your master`s thesis. Good prior knowledge of electrochemistry is required to successfully
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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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at the Leibniz Institute DSMZ on the Science Campus Braunschweig-Süd. The Leibniz Institute DSMZ–German Collection of Microorganisms and Cell Cultures GmbH is one of the world’s largest bioresource centers and a
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
into the Mannheim Comprehensive Medical Systems Technology Campus (MCSC) and cooperates in particular with the Center for Cardiovascular Imaging, the Mannheim Institute for Intelligent Systems in Medicine (MIISM
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well as postdoctoral qualifications (psychology, education sciences) and teaching experience equivalent to the requirements of a full professorship. An outstanding, internationally visible research profile is expected
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of Excellence. A willingness to acquire externally funded projects, supervise doctoral candidates, and engage in interdisciplinary collaboration is required, as is an active commitment to open science practices
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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a