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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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the scientific IT of the Tectonics and Sedimentary Systems departments • Supporting team members with technical problems • Creation and maintenance of internal databases, including data backups, BSc/MSc/PhD and
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The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision
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(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
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/index.html Job description: As a PhD student, you will work within the DFG-funded project ‘Luminescence Upconversion Nanoscopy – LUNA’, which aims to bridge the traditionally separate research fields of mid
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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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. Requirements: Completed PhD in one of the participating disciplines of the IRTG Desirable: an outstanding completed PhD in one of the participating disciplines, preferably cultural and social anthropology
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, tutorials and practical courses. You will actively support the development and design of courses and you can introduce innovative teaching methods and technologies to create an engaging learning environment
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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