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probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields Appl Deadline: 2025/11/11 04:59 AM UnitedKingdomTime (posted 2025
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model
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interface. - Deployment, compilation, and execution of the ECCO-Darwin model on the supercomputer - Numerical developments on the ECCO-Darwin model code - Analysis of numerical model outputs - Processing and
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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics
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of surfactant and lipid systems. The research focus includes problems such as cavitation, foam stability, and surfactant-mediated interfacial processes. The work will involve MD simulations, numerical analysis
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic empirical pavement design and
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Modelling localised solar jets: (macro)spicules) and their effect on solar atmospheric dynamics School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Robertus von Fay