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project work plan and milestones Your profile Completed university studies (Master/Diploma) in the field of Chemical/Metallurgical/(Mineral) Process Engineering, Data Science, Statistics, Machine Learning
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of creative breakthrough." The methodology combines detailed case studies, comparative pattern analyses, and quantitative data evaluation with interdisciplinary perspectives from medicine, biology, chemistry
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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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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following training
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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to strive for a PhD. The at the Institute for Software and Systems Engineering (ISSE) located Research Group Digitized Green Tech focusses on the design and the development of digital solutions to shape a
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/datenschutzhinweis . This project has received funding from the European Union’s Horizon Europe research and innovation program under the MARIE SKŁODOWSKA-CURIE grant agreement no. 101227592
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to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis . This project has received funding from the European Union’s Horizon Europe research and innovation program under the MARIE
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bioprocesses. You will contribute to developing and applying novel modeling strategies, AI-enhanced simulations, and computational workflows to explore biological complexity and design solutions for a