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research and participation in international research conferences. Detailed information: https://www.kf.vu.lt/en/studies/studies-in-english/doctoral-studies/admission-for-phd Website for additional job
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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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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential
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: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven
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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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radiographs. However, real-world experiments often face "limited data" conditions caused by strict time constraints, radiation dose concerns, or experimental rigs that physically block certain imaging angles
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Data driven epidemiology and biology of infection cover research that will transform our understanding
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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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10 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Computer science » Computer architecture Researcher Profile First Stage Researcher (R1