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Field
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meet the requirements for admission to the Faculty's Doctoral Programme . Experience with optimization modelling and numerical optimization tools, such as JuMP, Pyomo, Gurobi, CPLEX, HiGHS, or similar
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interest in cell and developmental biology of plants; Experience in (numerical) mathematical modeling (e.g., vertex-based or Cellular Potts modeling, particle-based simulations, PDEs, FBA); Suitable
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the selection process: U-Space Systems, programming languages (TypeScript, JavaScript, Python), and simulation. LanguagesENGLISHLevelExcellent Additional Information Benefits -Integración en un Grupo de
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. Consequently, the candidate must demonstrate skills and a strong interest in these two disciplines. Additionally, the candidate must show an aptitude for data processing and numerical simulation. Proficiency in
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, the work will benefit from the complementary expertise of the PIIM and IRAP groups in theoretical modeling and numerical simulations of centrifugal instabilities, in the context of both laboratory devices
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modeling, construction of numerical methods, coding, testing, numerical simulations, and possibly measurements. You will mainly do your programming work in a mixed programming environment, i.e. combining
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applied to regression, classification, and the solution of time-dependent partial differential equations (PDEs), such as large-scale tsunami simulations. The project involves two doctoral researchers with
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of quantum particles. This field offers a rich landscape of theoretical challenges, ranging from the study of integrable models and quantum simulation to the investigation of non-equilibrium dynamics
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association with the ITER project; • Astrochemistry and exobiology, to simulate various environments and to prepare for future space missions and observations; • Surface sciences and innovative materials
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and mathematical analysis of solver technology for multiphase flow simulation in deformable geological porous media. Key challenges and opportunities related to the center applications include: a