Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
-
degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
-
recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
-
level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
-
strong guidance from academic supervisors as well as from industrial experts. Responsibilities and qualifications Polishing is one of the last steps of the manufacturing process chain for industrial tools
-
, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
-
Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), Odense, invites applications for a fully funded PhD position in the foundations
-
to carry out high-quality research on the modelling of power system balancing process for future sector-coupled European energy systems. The task will include assessment of reserve requirements and
-
, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
-
properties of the extracted compounds, (iv ) scale-up the optimized extraction process for potential industrial application. This is a unique opportunity to contribute to sustainable food innovation while