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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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sponsor employment-eligible immigration statuses for this position. Ocean Sciences: https://ocean.ucsc.edu/ UC Santa Cruz Ocean Modeling and Data Assimilation: https://oceanmodeling.ucsc.edu/ Qualifications
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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient
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-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments. Social & Soft Skill
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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modeling, and scientific machine learning to enable efficient simulations of complex molecular processes across realistic time and length scales. https://doi.org/10.48550/arXiv.2604.24245 https://doi.org
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design (QbD). Pharmacokinetic/pharmacodynamic (PK/PD) modeling and simulation. PK/PD modeling and simulation for drug development and precision dosing. Quantitative analysis of exposure–response
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of Applied Nuclear Physics at Uppsala University conducts research and education in applied nuclear physics and nuclear engineering. The research includes modelling and simulation of nuclear fuel behaviour in
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simulations to analyse underwater vehicle performance Access to world-class facilities at DSTG Fishermans Bend and the Australian Maritime College Full time and Fixed-Term (June 2028) based in Victoria with
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software