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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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with experimental, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation
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, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation of the results and transferring
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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training program with close mentoring access to advanced research infrastructure and shared core facilities a vibrant and collaborative scientific community in Dresden and internationally The successful
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. Requirements: university degree (master or diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide
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in this order: cover letter, CV, list of publications, summary of relevant previous work (maximum one page), certificates and transcripts of previous degrees (B.Sc., M.Sc.), two names of senior
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systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer science institutes at TU Clausthal, hosting several research groups. For more information
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
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the diffusion of radionuclides (U, Pu, Am) and decay products (Zr) through rock minerals triggered by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first