Sort by
Refine Your Search
-
mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
-
. The position bridges machine learning and molecular science, with opportunities for collaboration, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE
-
Communication at the Department of Communication and Learning in Science, and a member of our graduate school Communication and Learning in STEM. The division’s research is situated at the intersection
-
Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
-
. You are expected to learn to develop your own scientific concepts and communicate the results of your research verbally and in writing. Your research activities will contribute to enhanced knowledge in
-
will conduct original research, co-supervise doctoral students, teach, and contribute to grant applications, establishing a great foundation for the next step in your academic career. About us The
-
dynamics for shape change. A further aspect of the project is learning and calibrating these models from data using data-driven inference methods. Who we are looking for Required qualifications A doctoral
-
stochastic dynamics for shape change. A further aspect of the project is learning and calibrating these models from data using data-driven inference methods. Who we are looking for Required qualifications A
-
and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research