Sort by
Refine Your Search
-
models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
-
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
-
Job Description Are you passionate about chemical theory and computation? Are you interested in the real-time (atto- to picosecond) dynamic changes in molecules when they undergo physical and
-
, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the RADAR project, funded by Independent
-
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
-
with ethnographic or related qualitative methods is expected. Familiarity with theories from organization studies, science and technology studies (STS), sociology, education studies or related fields
-
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
-
, 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
-
engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a merit and even better is
-
understanding of combustion and engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a