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Field
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sequestration, and watershed protection. ● Conduct ecological, hydrologic, or biomass simulations and spatial analyses to model long-term forest dynamics under climate change scenarios. ● Discuss and plan novel
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possible mechanisms of action, identify peculiar activity signatures and integrate cellular toxicity profiles to reduce false positives and guide compound prioritization. The models will be populated and
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and develop
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of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system
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projections under climate change and plays a key role in evaluating flood safety targets and risk-reduction measures. We are looking for a candidate to run the GFZ model chain RFM (Regional Flood Model
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or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
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system-level experimental validation of fabricated prototypes. A strong drive for innovation is essential, as the work will push the boundaries of current photonic technologies and computing models
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shortages and complex referral pathways. This role will develop a reliable, scalable, and agent based simulation model that will support caseworkers in developing their care plans for survivors. By analysing
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microscopy, image processing, data simulation, modeling and numerical analysis of spectroscopic and microscopic data. Strong experience in fundamental electrochemistry. Ability to work as an independent