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Computer Science, Artificial Intelligence, Machine Learning, or a related field; Strong background in image processing, computer vision, and deep learning; Excellent programming skills (Python preferred), with
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the field of computer vision and with training, validating and inference processes in machine learning; Familiarity with generative AI; Curious about mathematics and biology; Excellent programming skills
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the Department of Machine Learning and Neural Computing (MLNC) at the Donders Centre for Cognition (DCCN) and the School of Artificial Intelligence (AI), both part of the Faculty of Social Sciences of Radboud
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computational models and mechanisms that enable AI agents in Hybrid Human-AI teams to learn, adapt, and utilise shared team norms through interactions to ensure their actions are aligned and justifiable
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self-sovereign identity, yet it remains unclear whether these two visions—centered on different loci of sovereignty—are fully compatible or whether they will ultimately serve the same ethical and
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/developer with: A university degree in computer science, computer vision, artificial intelligence, or machine learning. A Ph.D. is a plus but not required; Excellent machine learning skills; Experience in
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incorporating machine learning for multimodal data analysis to enable the discovery of new biomarkers and therapeutic targets. As a PhD candidate you will also leverage advanced imaging techniques to explore AMD
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of biomechanical modeling, image segmentation, vision-based motion capture, machine learning, and control systems. Experience with OpenSim model creation and simulation. Keep in mind that this describes
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projects in the marine domain. We envision that you harness the power of AI, specifically in computer vision applications, as well as sensor technology to enhance fisheries, aquaculture and ecological
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a