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Field
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geology and geology of sedimentary basin with, in particular, numerical modeling of geological processes (i.e, PhD in Earth Sciences or equivalent). Additional comments The candidate must include a single
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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improving the security of modern computer systems. To do that, we often build novel analysis techniques to uncover previously-unknown attack surfaces and when appropriate we design and implement new systems
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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experience with Linux is therefore also required • Candidates with a completed PhD degree before the interview date will also be considered • Documented research experience on numerical modelling
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Austrian Academy of Sciences, The Institute for Habsburg and Balkan Studies (IHB) | Austria | 17 days ago
guidelines, co-supervising two student assistants Conduct in-depth historical and philological analysis of the Frangochiotika sources jointly with the PI Lead the project's micro-level analysis of vernacular
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quantitative regime maps for spreading, sticking, rebound, freezing, peeling, and fragmentation. Using existing image-analysis tools and newly developed workflows, you will quantify droplet deformation, contact
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/Qualifications We are looking for a researcher with a PhD in physics, astronomy, applied mathematics or a closely related discipline, completed before the starting date. Essential qualifications: The candidate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
research with our colleagues and with scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization