Sort by
Refine Your Search
-
Country
-
Employer
- ; The University of Manchester
- Forschungszentrum Jülich
- ; Newcastle University
- ; University of Birmingham
- ; University of Southampton
- Aalborg University
- Cranfield University
- Leiden University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Newcastle University
- Radboud University
- University of Adelaide
- University of Copenhagen
- University of Oslo
- Uppsala University
- Utrecht University
- 8 more »
- « less
-
Field
-
physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
-
. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
-
, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
properties of skeletal muscle during static and dynamic contractions. The student will also participate in early-stage algorithmic work to model muscle architecture and behavior across contraction types. In
-
, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
-
student, you will be embedded in the research groups Computational Imaging and Deep Learning (CIDL) and Applied Quantum Algorithms (aQa), part of the Leiden Institute of Advanced Computer Science (LIACS
-
learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
-
slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
-
Most of chemical products consist of multiple compounds that are formulated together, of which the development process is iterative, laborious, and complex. The formulated products sector