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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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1st April 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in data acquisition and analyses in tunnelling projects Apply
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, require optical microscopes that can capture spatial and spectral information simultaneously, while remaining fast, data-efficient, and suitable for in-situ use. However, conventional hyperspectral
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6th March 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Computer Architecture Focusing on Dependency-Aware Performance Analysis Apply
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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aid referee decision-making there are many other potential applications for this type of technology and data. The ability to capture the detailed movement of 22 players and officials around the entire
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State