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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
twins to replace hands-on training? Do you want to engage in a career within didactics of STEM (Science, Technology, Engineering and Mathematics) education? This PhD project is a part of the ACCESS
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algorithms and all the way to areas of use cases/applications of quantum algorithms in chemistry and life-science. Applicants can have a background in Computer Science, Physics, Chemistry, Mathematics
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describing the changes in blood due to pre-analytical errors, and build mathematical models to describe these changes. This work can have real clinical and commercial impact, potentially resulting in digital
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, Water Resources, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The MSc degree must be equivalent with the Danish MSc degree
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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-principles physical knowledge with data-driven learning to enable continuous, autonomous system oversight. Research objectives The project pursues two interconnected research directions: Continuous
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to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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Selected candidates will be invited for an interview. Interviews are expected to be held during 07/2026. Further information Read more about our recruitment process here The appointment process at Aalborg
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mathematical foundations. Hands-on experience with real-time robotics experiments (e.g., ROS-based platforms) and prior publications in robotics or control venues will also be viewed positively, along with a