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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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Learning (SCSIL) is seeking a highly motivated Postdoctoral Researcher with training in computer science, artificial intelligence, biomedical engineering, or a closely related field to join an
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fundamental IC innovation with hands-on experimental work. You will publish your findings at leading solid-state circuits and sensor conferences and in journals, and co-supervise MSc and PhD candidates. You
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preparation, as well as writing scientific papers and reports. Mandatory requirements: PhD completed in the fields of agricultural or biological sciences; practical experience in artificial intelligence
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the start date, a PhD in Data Science, Computer Science, Electrical Engineering, Electrical and Computer Engineering, or a closely related field. The applicant’s research should focus on machine learning
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, especially segmentation and quantitative extraction Your profile PhD in computer science, physics, materials science, applied mathematics or a related field experience in building LLM-based agent systems
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quantum systems. Requirements You have a PhD degree in physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum
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, Depts. of Infectious Diseases and Clinical Medicine. Your competences You have academic qualifications at PhD level, for example within the following areas immunology, virology or bio-informatics. We seek
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as