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, template programming, and multithreaded development Experience with statistical computing environments such as R or MATLAB is essential Knowledge of Monte Carlo simulation methods using the Geant4 framework
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Description For our location in Hamburg we are seeking: PhD Position: Method Development for Hierarchical X-Ray Imaging at Synchrotron Facilities Limited: 2 years | Starting date: earliest possible
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of medical free text using advanced AI methods” (working group of Prof. Christof von Kalle) The duration of a position in the BIH PhD Program is three years with a possible extension of up to one year
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationFrankfurt am Main Application Deadline15 Jan 2026 Starting Date01 Sep 2026 Overview Description Required Documents Application Overview Open...
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in South Asia with the capacity
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling