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methods for quantitative characterisation and forecasting of deep fluid circulation" (task leader: R. Chassagne) within the "PEPR sous-sol bien commun PC9", and will therefore use data from the Rhine Graben
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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of the hotspot quantification with the nanoagent size and the optical fluence for instance, and (3) numerically modeling the hotspot measurement with the photoacoustic method to link the mesoscopic measurement
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, Physics (computational or solid-state focus), or a related field Strong interest in additive manufacturing, topology optimization, computational design, and process modelling Background in numerical methods
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metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en
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related fields. Background on numerical methods and/or programming skills will be valued. Starting date: PhD contract should start as soon possible, in any case, no later than September 1st, 2026
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, in particular in quantum phase-space methods. • You have a proven experience in numerical methods and programming, particularly the simulation of PDEs. • Excellent written and spoken English. What we
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well as in use of numerical methods via collaboration with RICAM experts the opportunity to complete a high-quality dissertation within an excellent, collaborative, and transdisciplinary research environment a
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delivery receipt, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection methods consist of a Scientific and
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application of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection method consists of a Scientific and Curricular Path Assessment (SCPA) weighted at 90% and an