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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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for associative learning conducts research in neurophysiology and neuroscience, with a particular focus on cerebellar function and motor learning. The group is led by Associate Professor Anders Rasmussen and is
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. The candidate is expected to have an overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other
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tools for the design, analysis and evaluation of socially intelligent systems that aim to collaborate with humans in learning and decision-making tasks, often with the aim of improving health. Visit https
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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. Project description This research position addresses privacy and security issues in federated and decentralized learning systems by bringing together concepts from information and coding theory, machine
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for Computer Graphics and Real-Time Rendering. By using ANNs, coded for high-performance on cross-vendor GPUs, we aim to create new techniques for global illumination and material models. The subject works with
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with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in system identification and machine learning is
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The research group for associative learning conducts research in neurophysiology and
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Jönköping University and School of Engineering invites applications for a Lecturer in Computer Science with a focus on data science and machine learning. This position offers opportunities