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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
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machine learning techniques into a modern AI planning system. The project will involve both theoretical and experimental work As a PhD student, you devote most of your time to doctoral studies and the
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of quantum chemical calculations (DFT) is advantageous. An interest in machine learning and AI-based methods, as well as programming skills in languages such as Python or MATLAB/Simulink, is beneficial
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qualifications You have a Master’s degree in electrical engineering, engineering physics, mechanical engineering, computer engineering, engineering mathematics or have completed courses with a minimum of 240
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7 Mar 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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and statistics is merited. Practical experience in operating and monitoring bioreactors is merited. Capability to think in terms of chemical structures of molecules is merited. Autonomous: Takes
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and socioeconomic status can shape the vulnerability to develop addiction later in life. Social stressors and social subordination increase the sensitivity to the rewarding effects of drugs in animal
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Apr 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 853--1-26385 Is the Job related to