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for farm-farm interaction Development of coupled LES and aero-elastic models using the actuator line method Analysis and design of wind farm control through LES and machine learning Scientific publication
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Immunology Posting Number R260042 Posting Link https://www.ubjobs.buffalo.edu/postings/61542 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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to apply Website https://academicpositions.com/ad/eth-zurich/2026/doctoral-position-innovation-e… Requirements Research FieldEconomicsYears of Research Experience1 - 4 Research FieldEconomicsYears
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programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology
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to optimize team performance. Ensure patient and physician calls are returned in a timely manner, and all patient interactions are documented appropriately in EPIC. Utilize assessment skills and critical
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the most promising molecules. In the second stage, we will focus on designing optimal two-qubit gates based on strong dipole interactions and the control of molecules with optical tweezers. Finally, the
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
fascinating structural biology and drug discovery fields. Specifically designed for students eager to delve into advanced concepts, it addresses essential topics such as integrating AI in structural biology
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
- University of Toronto Mississauga Course number and title: BTC1700H - Molecular Biology Laboratory Course description: This course is designed to enable students to gain a more in-depth appreciation and
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specific research projects and the remaining ~30% time to general lab maintenance and support. The RSP will attend journal clubs and lab meetings and contribute to a dynamic and interactive lab atmosphere
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. The successful candidate will design original solutions for the integration of inference models in heterogeneous programmable user planes composed of a combination of programmable switches, network processing