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Description This PhD position explores how AI agents can play games to generate meaningful gameplay data. You will work on reinforcement learning, automated feature engineering, and the comparison of AI- and
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subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Date: Overview The hourly rate for this position is $22.39 per hour and is non-negotiable. Graduate Level 1 or above: Pursuing a Master's Degree or PhD in Computer Science, Electrical Engineering
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to teach in at least one of the thematic areas listed above. Additional desired qualifications include a PhD degree, the ability to teach across multiple areas of the curriculum, strong engagement with
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federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease
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Engineering » Electrical engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 31 Jan 2026 - 23:59 (Europe/Tallinn) Type
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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has direct societal impact for improving healthcare environments and outcomes. Job requirements MSc Degree in Human-Computer Interaction, Industrial Design Engineering or related fields. Strong