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Field
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of complex and challenging patients in critical care. The curriculum is composed of multi-modal learning opportunities that may include the following: in-person didactics, online classrooms, simulation
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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. For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application. Qualifications and specific competences: Applicants
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in the project: 1. Hydrodynamic Analysis: • Conduct simulations to analyze wave interactions, buoyancy, and stability of modular floating structures. • Optimize designs for dynamic environmental
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co-design activities, such as policy simulations, design sprints, and tabletop convenings that bring together stakeholders across sectors to identify policy gaps, opportunities, and collaborative
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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or element-wise classification using ML for solving inverse-scattering problems. Experience with solving force-inversion problems. Experience with forward and inverse simulations and/or related programming
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interactions during structured discussions, team-based simulation sessions or problem-solving tasks to long-term collaborative work on open-ended projects. Often, collaborative work or tasks are supported
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datasets). Develop and apply statistical and empirical models to assess relationships between hourly precipitation characteristics and runoff. Simulate future rainfall patterns using thermodynamic scaling