31 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Free University of Berlin in Germany
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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offers the opportunity for acquiring a PhD degree under supervision of Alexander Libman and Tomila Lankina at the FU Berlin. Requirements: -completed academic university education in a relevant field
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part of the ERC project DYONCON. You will work in a multidisciplinary and international environment, in close collaboration with the group and our external partners. Requirements: PhD and Master's degree
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The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
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. degree in theoretical physics and must meet the requirements for admission to the doctoral program of the Department of Physics at Freie Universität Berlin. Desirable: Excellent knowledge of theoretical
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The History Department of Freie Universität Berlin is home to a broad variety of research projects and scholarly initiatives in the field of global history (among them, the MA program Global History
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of accounting, corporate reporting in a national and international context, and auditing issues. Methodologically, the focus is on quantitative empirical approaches, in particular computer-aided text analysis
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languages used: C++ 2014, CUDA, Lua Desirable: - interest in high-performance computing with graphics processors (GPUs) and simulation methods - fluent knowledge of modern C++ and a scripting language
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of new methodologies to discover new concepts and compositions for high-performance electrolytes for emergent electrochemical device...
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CRC 1114 aims at methodological developments for the modelling and computational simulation of complex processes involving many (more than two) interacting scales, driven by real-life applications