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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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the chance to obtain further academic qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme “Productive Biofilm Systems” aims at, in
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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engineering, and materials science. The three-year PhD programme includes independent research work in a project involving different branches of science and engineering, and a well-structured scientific
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Work group: Institute of Hydrogen Technology Area of research: Other Starting date: 10.04.2025 Job description: PhD student Reference code: 50137691_4 ? 2025/WT 1 Commencement date: as soon as
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of mobile and flexible work PhD Buddy Program family-friendly company policy with childcare facilities, e.g. nursery close to the company free assistance program for employees (EAP) corporate benefits a
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content DASHH facilitates an interdisciplinary, structured, three-year PhD
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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? Join us at the Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine