Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
-
PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
-
skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
-
for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
-
& Technology, Data Law & Governance, LGBTQ+ Rights, Anti-Discrimination Law, EU Internal Market Law, Digitalisation. Co-supervisor: Dr. Masuma Shahid, supervisor: Prof. René Repasi Job requirements We
-
on health and inequality? Join us as a PhD candidate and advance knowledge in public health economics. Job description This PhD position will focus on quantitative analyses on two different topics
-
and Learning Sciences chair group , a vibrant group of researchers and teachers. Our core mission is to understand and facilitate the unfolding of human potential in response to global challenges. You
-
methods to administrative data. The exact topic will be chosen in coordination between the successful candidate and supervisors. The successful candidate will be part of the Strategy Economics group within
-
the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more