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Field
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
of Computing Science, Business Administration, Economics and Law (Faculty II) – Department of Computing Science Course language English and German Financial support No Structured research and supervision Yes
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Degree Dr-Ing Course location Stuttgart Teaching language English Languages Courses are held in English. Courses are also available in German. Participants can choose to write the doctoral thesis in
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Degree Dr phil Course location Münster Teaching language German English Languages Courses are held in English and German. Students may write their doctoral dissertation in either language. Programme
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"Deutschlandstipendium". Read more Academic admission requirements Four-year Bachelor's degree, Master of Science degree, German Diploma, or equivalent degree in life sciences, physics, chemistry, informatics, or a
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language of the doctoral programme is English. All courses and seminars are held in English. The doctoral thesis can be written and defended in English or German. Programme duration 6 semesters Beginning
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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Application Deadline 30 Apr 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 4 Mar 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our