196 machine-learning-"https:"-"https:"-"https:" "Newcastle University" PhD positions in Sweden
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires
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PhD student focusing on Machine Learning of Geometric Representations at ISY Linkoping Reference number LiU-2026-03853 We have the power of over 50,000 students and co-workers. Students who provide
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. Project description Machine Learning – Algorithms and Theoretical Foundations Recent advances in AI have highlighted the potential of learning systems that make sequential decisions and adapt to
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take into account Luleå University of Technology’s employee policy and gender-equality objectives. For further information about doctoral studies in Machine Design, please see the general syllabus
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. Project description Resource-Efficient On-Device AI/ML for IoT Systems This PhD project investigates resource-efficient multimodal machine learning for intelligent Internet of Things systems. It
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in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 16, 2026
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PhD Student on TENG in Machine Elements Lulea Reference number 3871–2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with
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PhD in Materials Science Norrkoping Reference number LiU-2026-03852 Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic
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and apply AI and machine-learning methods to infer interaction networks from acoustic co-occurrence and activity patterns, and analyse their structural properties to link topology to response diversity
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involve developing and applying high-fidelity CFD models of turbulent flows in hydraulic turbines, integrating machine learning and deep reinforcement learning algorithms with numerical simulations