-
forecasting capacity. What you’ll do Together with the PI, you will provide scientific leadership for QUASI’s observational backbone and take responsibility for the design, operation and analysis of the multi
-
economics (must have been awarded by the agreed-upon starting date). Prior research experience in electrolysis-based plant modelling, techno-economic assessment and heat management, and/or multi-objective
-
through quantum computer science research, working alongside academic and industrial partners to develop the core technologies that will make remote entanglement available to all. Join us and apply for one
-
computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a multi-disciplinary project also involving
-
. Python/Matlab). Ability to work well independently as well as in a multi-disciplinary team. Fluent in English (oral and written). Availability to start preferably in June/July 2026. TU Delft (Delft