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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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. Machine learning/atmospheric science/satellite data processing experience preferred but not required Creative problem-solving skills and ability to work independently *Candidates with a PhD in other
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science. Your competencies PhD in computer science, statistics, data science, or a closely related field. Expertise in probabilistic machine learning, optionally generative and Bayesian models. A strong
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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering