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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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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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in tropical or intertidal environments. Proficiency in environmental sample handling and analysis (e.g., greenhouse gas monitoring, biogeochemical sensors, hydrological tracers, or carbon flux
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environmental exposures such as temperature, humidity, and air pollution sensors. Overall study plan will be shared once the appointee comes on board. The appointee shall work under the direction
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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theoretical computer science to develop algorithms and/or data structures, to further our understanding of what is possible in various computation models. The Research Associate/Research Fellow is also expected
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amplifiers Develop scripts and algorithms for analog IC design Prepare report and conduct presentation at seminars Assist the school in various teaching activities, including instructing or supervision of labs
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Information Engineering and Media to develop Machine Learning and AI algorithms for real-world and media-related applications. The Research Associate/Research Fellow is also expected to support teaching
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Time Synchronization of Distributed Radar Sensors) Posting Start Date: 02/05/2025 Job Description: Job Description For a project
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data