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of Computer Science at UNNC is developing strong research in areas including Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in
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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least 3 years of relevant research experience in microwave and RF device modelling and design. Strong background in
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Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning for manipulation
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samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Assistant (PhD student
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engineering Computer science -> Cybernetics Positions: PhD postion Type of contract: Temporary Job status: Full-time Hours per week: 40 How to apply: https://www.fei.vsb.cz/en/applicant/doctoral-study/ Select
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 25 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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9 Apr 2026 Job Information Organisation/Company Wrocław University of Science and Technology Department Faculty of Information and Communication Technology/ Department of Computer Engineering