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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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Degree: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (7 ) Computer, Information, and Data Sciences (9 ) Environmental and Marine Sciences (3 ) Life Health and Medical Sciences (16
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Qualifications Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control. Experience in computer vision, multimodal perception, or foundation models (VLMs
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or precision oncology Experience with biological image analysis and machine learning for computer vision Excellent communication skills Excellent verbal and written English language skills (German is not
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vehicle validation. Design and implement machine learning models that capture the complexity and variability of real-world traffic situations, including unusual pedestrian behaviors, edge cases, and multi
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including dental and vision - Health Insurance Generous annual and sick leave, life insurance – Faculty Benefits E. L. Wiegand Fitness Center offers annual or semester memberships and spouse/domestic partner
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and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor
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Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods of research, testing and data
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms