-
Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
international research institutions funded by the German Federal Ministry of Education and Research You will have the opportunity to participate in project meetings and conferences and to present your results
-
to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML
-
to unfused enzymes. The successful candidate will Develop coarse-grained (CG) models for CAR and other enzymes of the cascade based on atomistic simulations provided by the project team. Run Brownian dynamics
-
motivated team at Forschungszentrum Jülich, which is one of the largest and best-equipped research facilities in Europe You will have the opportunity to participate in project meetings and education events
-
meetings, conferences, and as scientific papers Contribute to educational events, such as university lectures, JSC courses and hackathons Your Profile: Excellent masters degree and subsequent Ph.D. degree in
-
Jülich, which is one of the largest and best-equipped research facilities in Europe You will have the opportunity to participate in project meetings and education events organized in the frame
-
highly motivated group and an international and interdisciplinary working environment in one of the largest research institutions in Europe The possibility to develop your own research program in line with
-
actively help in shaping the change! We support you in your work with: The candidate will work in an internationally recognized research group in this field offering the candidate the chance to develop