Sort by
Refine Your Search
-
Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges
-
federated knowledge graph framework that facilitates the querying, consolidation, analysis, and interpretation of distributed proteomics-focused clinical knowledge graphs. To achieve this, we will employ
-
models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop
-
, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
-
Professor Elena Pagnin at the Department of Computer Science and Engineering at Chalmers University. Responsibilities and qualifications The focus of the PhD project is on advancing the theory and practice
-
supervisors and industry partners, you will bridge theory and practice to create research with real-world impact. Your primary tasks will be to: Conduct research on data-driven and modular approaches
-
equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
-
control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute Department of Mathematics and Computer Science – is an internationally recognised academic
-
Polytechnique in Paris (France) and potentially also at the IE University in Madrid (Spain) and/or at Ivey Business School (Canada). You will work on developing mathematical optimization methodologies
-
and colleagues working with theory that will complement your work with density functional theory, phase-field simulations, and finite element modelling. Qualified applicants must have: Enthusiasm