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the projects and the training of the recruited postdocs towards leading academic or industrial research positions. This post-doctoral position is also a part of the EU cofund research project AMBER, Advanced
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Malmsten) whom together with additional scientists and guest professors within COMMONS will guide the projects and the training of the recruited postdocs towards leading academic or industrial research
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Malmsten) whom together with additional scientists and guest professors within COMMONS will guide the projects and the training of the recruited postdocs towards leading academic or industrial research
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. Therefore, our objective is to use machine learning for assisting the decision of medical caregivers. We show two concrete examples as postdoc projects: How to predict and detect an infection before visible
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and teach machines how to recognize it. Would you like to help us out saving cyclist and e-scooterist lives? Information about the division and the department In the Vehicle Safety Division
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the areas of automation, formal system verification, control, autonomous robots, machine learning, and AI. The Automation group is an integral part of the Department of Electrical Engineering (E2) which
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: - Experience with wireless communication networks - Knowledge of information theory and/or statistical learning theory - Experience with python machine-learning libraries Contract terms This postdoc position is
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Employers). Mathematical skills in, e.g., optimization and stochastic processes, are desirable as are excellent programming skills and experience with machine learning. Knowledge in wireless communication
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environments. - Efficient and robust translation between GAI and robots with reliable two-way interfaces - Dynamics-aware mission planning and execution with multi-modal sensor data Quantum Machine Learning
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work environment and committed employees. We have a strong focus on leading research and good teaching and we have access to equipment for advanced computer calculations and experimental measurements