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Field
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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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in hydro-geochemical research, including fieldwork, modelling and data analysis of freshwater aquifers, brines, and/or wetlands. Experience with reactive transport simulations. Publication record
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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. This will include the planning of model developments, carrying out model developments, preparing and analysing observational datasets, designing experimental protocols, carrying out the related simulations
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: WRF-Hydro, Advanced Terrestrial Simulator (ATS), Stormwater Management Model (SWMM), and/or Hydrologic Engineering Center – River Analysis System (HEC-RAS). The appointee is expected to carry out
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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analyses of observational data, qualitative surveys, and ABM simulations. In addition to continuing their independent research, the research fellow will be expected to collaborate with the PI and other lab
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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
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multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films. Collaborate with experimental groups on characterization
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, to simulation, to fabrication, to control. Researchers in AI^2 tackle major challenges in science and engineering, such as containing plasma in fusion reactors, revolutionizing material design and