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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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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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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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engineering Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 10 Feb 2026 - 23:59 (Europe/Brussels) Country Poland Type of Contract To be defined Job Status Full-time
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The Chicago School of Professional Psychology | Chicago, Illinois | United States | about 7 hours ago
(or an equivalent Learning Management System). • Proficiency in video conferencing systems. • Intermediate-to-advanced computer skills required (MS Office Outlook, Word, Excel, SharePoint, Adobe Acrobat Professional
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receptor (CAR) therapies Lab website: https://www.pathology.med.umich.edu/chang-kim-lab/ Required Qualifications* Candidates must possess a Ph.D. in life science areas High productivity demonstrated in
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to develop learning-based surrogate
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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compliance, if applicable). Does this position have supervisory responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering
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and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Intelligent Software Engineering. Over the past decade, faculty within