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the research profile of the University of Bremen. Rooted in computer science, Minds, Media, Machines connects researchers from eight faculties of the university with numerous internal and external partners
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; Ultrafast Dynamics , Condensed Matter Theory , Cosmology , Crystallography , Dark Matter , Data analysis , EIC , Electron Hydrodynamics , electron-positron collisions , electron-proton collisions , Electronic
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the vicinity of perennial snow fields during the growing season. The PhD student will also be responsible for analysis of data from eddy covariance sensors, weather stations, and hydrological installations, as
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, solid mechanics, and mechanics of materials Experience from numerical simulations, preferably finite element analysis Excellent written presentation skills and oral English language skill PLEASE NOTE: For
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. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based
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early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
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Informatics in Sofia, Bulgaria under the supervision of Dr. Peter Rashkov, Dept. of Mathematical Modelling and Numerical Analysis. The position is funded through the Marie Sklodowska Curie Doctoral Network
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data, including critical analysis of results and integration with documentary/historical information relevant to the project; Contribute to the compilation and organisation of the project database
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). • Experience with quantitative analysis, such as statistics, scientific programming, and/or numerical modelling. • Excellent written and spoken English (working language is English). • Ability to work
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programming and quantitative analysis (e.g., statistics, scientific programming, numerical simulation) • Excellent written and spoken English (working language is English). • Ability to work independently