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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret
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Your Job: This thesis focuses on designing, evaluating, and deploying algorithms for robot perception and control. The main task is predicting both self-motion and the motion of surrounding agents
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algorithms for computing equilibria. Positions Available We invite applications for Doctoral Researchers (Ph.D Candidates) and Postdoctoral Researchers These full-time positions (100%) are initially offered
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
Status Part-time Hours Per Week 26 Offer Starting Date 17 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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systems. Design and implement algorithms that enable shared control between human operators and autonomous systems to improve teleoperation performance. Maintain active communication and collaboration with
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
implementation of AI algorithms and tools for analyzing and predicting health-related events, process optimization and decision support in healthcare. Validation of models to ensure accuracy and reliability
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of the novel methods created within our research group. Your primary tasks will include: - Assisting in the research taking place in our group. - Collaborating with our researchers to translate new algorithms
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expertise from computer science and mathematics into the field of ocean sciences. The school’s interdisciplinary focus spans supercomputing, modeling, (bio)informatics, robotics, statistics, and big data