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, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction and Natural Language Processing. The division runs, together with the Department for Automatic Control, the RobotLab LTH
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. Areas of study include perception, memory, learning, cognitive development, attention, motor control and spatial navigation. The research falls within the field of cognitive science, with a focus on
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two years of employment, or that they apply for validation of prior learning. For other eligibility requirements, refer to Karlstad University’s Appointments Procedure . Assessment criteria In
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. Knowledge of distributed control. Experience of machine learning algorithms and in particular reinforcement learning. You are stable, creative and persistent. We offer Lund University is a public authority
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Swedish and English. A candidate who does not meet this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure
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or machine learning. Experience with mathematical modelling and analysis of wireless communication systems. This also includes experience of the software tools used, such as MATLAB. Practical experience from
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in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning
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data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
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data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
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a new generation of certifying combinatorial solvers, which output not only a solution but also a machine-verifiable mathematical proof that this solution is correct, has already led to several