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evaluating optimization algorithms. • Fluency in English. References [1] H. Hua, Y. Li, T. Wang, N. Dong, W. Li, and J. Cao, “Edge comput- ing with artificial intelligence: A machine learning perspective
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at the University of Oldenburg and involving national and international partner institutions. As a diverse and international team of scientists from biology, physics, chemistry, computer sciences and social sciences
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statistical analysis and machine learning algorithms. Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing. Experience with deep learning
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statistical analysis and machine learning algorithms. Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing. Experience with deep learning
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: https://www.list.lu/ How will you contribute? Contributing to multiple R&D projects in the AIRA team, an R&T Scientist position is opened to contribute with algorithms and models in data-driven and
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Developing advanced computational imaging algorithms Proof-of-principle experiments on complex nanomaterials and biological samples We are looking for candidates with a completed university degree in physics
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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collaboration with the research software engineering team. Visiting other members of the community of Bioimage Analysts around the world, bringing you in touch with the latest algorithms and software tools
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of core algorithms for image processing and computer vision based on deep learning and traditional algorithms; including but not limited to image recognition, detection, segmentation, generation
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the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from