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The Modelling & Theory Group (GMT) at SPEC is seeking a permanent researcher in the area of condensed matter theory, with a focus on numerical methods in nano- to mesoscopic quantum physics. Job
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
To strengthen our team in the division 7.7 “Modeling and Simulation” in Berlin-Steglitz, starting 01.07.2026, we are looking for a Research Assistant (m/f/d) with a Ph.D. in Civil Engineering
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. Integrating numerical models tailored to Southern Norway and Greenland with existing datasets to investigate how their landscapes have formed. Presentation of results at international conferences. Publication
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, primarily because modelling the unsteady aerodynamic effects can be computationally prohibitive. Consequently, many conventional wing aerostructural design frameworks rely only on static aeroelastic metrics
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contribute? · Contribute to ESRIC’s research on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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evaluating carbonation and chlorides being valued; d) knowledge in statistical data analysis, with experience using mixed linear models being valued; e) knowledge in data processing and presentation using
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financial models for capturing complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is limited until 30/06/2026. Applicants with a solid practical experience
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financial models for capturing complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is for a fixed term until June 30, 2026. Applicants with a solid practical
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role The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function