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This position offers a unique opportunity to work at the intersection of statistical machine learning, control theory, and transport safety, in collaboration with researchers at Chalmers and the
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intelligence, machine learning, data science, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine
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are looking for The following requirements are mandatory: To qualify for the position of postdoc, you must hold a doctoral degree in computer science, artificial intelligence, machine learning, data science
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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Offer Description About the faculty and research group Are you passionate about machine learning, signal processing, and radar technology? Join our well-established Systems Engineering research group
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description and duties The postdoc fellow will conduct research at the borderline between the fields of information visualization / visual analytics as well as machine learning in close collaboration with
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? About the faculty and research group Are you passionate about machine learning, signal processing, and
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Hyperdimensional computing (also known as vector symbolic architectures) Fundamental methods in machine learning Information This is a full-time 6 months position with the possibility of extension up to one year
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innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning solutions that unlock insights from complex omics datasets, particularly