15 machine-learning-"https:"-"https:"-"https:" positions at Chalmers University of Technology
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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imaging. Relevant themes include privacy, robustness, reliability, model-based AI, machine learning, and semantic or task-driven methods, within the group’s established research agenda. About the
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, Electrical engineering, or equivalent. You will need strong written and verbal communication skills in English. Strong machine learning fundamentals (probability, statistics, optimization) and strong
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Lecturer of the Practice in Machine Elements Reference number REF 2026-0175 Chalmers University of Technology strives for academic excellence while addressing the challenges and needs of society and
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reactor response to potential anomalies and comparing these predictions with detector measurements. Recent research has demonstrated that machine learning models trained on simulated reactor data can
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projects in data-driven nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large
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impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from
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controlled as well as practical operating conditions. The postdoc will work in an interdisciplinary environment at the interface of automatic control, electrochemistry, and machine learning. The position will
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application: industrial product development or manufacturing research modelling and simulation, digital twins or digital threads AI, machine learning, synthetic data or data-driven decision support
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degree is accepted. The following experience will strengthen your application: modelling and simulation CAD/CAE, tolerancing, geometry assurance or production systems AI, machine learning, data