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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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provisioning, and cost monitoring. Establishes testing frameworks and code-quality practices for shared research software with rigorous validation of psychometric algorithms and adaptive-testing logic
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus
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on experience and qualifications). More information about this position is available on https://uol.de/en/job/research-associate-foundation-models-for-hearing-aid-processing-819 The position is embedded within
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education area that is central to tomorrow’s computing systems. You will lead a research group with strong expertise in algorithms, computational models, software engineering, and resource-efficient
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this application process. 1. Go to http://www.umjobs.org 2. Click on "Login" (upper right corner). Use your umich uniqname and password. 3. Click on "U-M Graduate Student on the Ann Arbor campus
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
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of the key components of the project is the apply machine learning algorithms on video data to extract human behavioural patterns (from egocentric and exocentric views). For that purpose, we are looking
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences