Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
-
Institute). Qualifications We seek excellent students with a strong background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from
-
-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc grades List of at least two references with full contact information
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
-
background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from the University of Groningen and Tartu Observatory. To be eligible to apply, a
-
implications. This PhD project offers a unique opportunity to work in an international environment in one of the biggest International Relations Department all over Europe and to acquire valuable research and
-
one of the biggest International Relations Department all over Europe and to acquire valuable research and teaching experience. The two main supervisors of the PhD project are Matteo CM Casiraghi and
-
learning approaches and contributing to the development of better (bio)catalysts and drugs? We are offering three fully-funded, 4-year PhD positions at the University of Groningen or the Technical University
-
Vacancies PhD position: The Power of Personalization Revolutionizing Osteoarthritis Treatment Key takeaways Are you eager to make a real impact on the lives of people with osteoarthritis? We
-
, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project