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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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using FRF and FDD models. Execution of fatigue tests on various materials. Numerical, analytical, and experimental analysis of mechanical components under fatigue regimes, additive manufacturing (AM
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properties Setup insitu testing protocol and analysis methods, especially on coupling the X-ray based catalysts and FTIR/Raman Supervising students Job Requirements: PhD qualification degree in Solid-State
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of Engineering (Civil & Urban Engineering) seeks to recruit a Post-doctoral Associate to work on a broader field of geotechnical engineering. Required Qualifications: A successful applicant must have a PhD in
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for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered
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operations Build on a theoretical foundation from numerical and functional analysis Build on the literature related to linear operator preconditioning and nonlinear preconditioners for Newton methods Use
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atmospheric cold-plasmas. The thesis project is placed in the context of an ANR contract obtained whose objective is the analysis of microwave hydrocarbon plasmas used notably for the conversion of methane into
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will be also investigated. Based on this numerical analysis, the requested material characteristics for a tradeoff between performances and robustness will be identified and recommendation will be
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and numerically. Particle stability analysis: Investigate mechanical stability of crystals and adsorbents under process conditions. Mechanical stress often causes abrasion and breakage, limiting
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 6 days ago
Raumfahrt e.V. (DLR, Hardthausen, Germany, ca. 2 months): analysis experimental data for numerical setup and validation The IRP will have a strong link to other IRPs from different DCs for: Exchange on