Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
-
on sustainable solutions for major challenges facing society, science and economy. Candidates must have a PhD degree in physics, interdisciplinary life sciences, or related disciplines, an outstanding academic
-
engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
-
, world-class research program in the field of sustainable engineering. We encourage applications from outstanding candidates with visible expertise in this broad field which ranges from sustainable
-
international scientific reputation of the University of Geneva. TITLE AND REQUIRED SKILLS: - PhD in sciences or equivalent degree. - Publications in top international mathematics journals. STARTING DATE: 1st
-
100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
-
outcomes. Curious? So are we. We look forward to receiving your online application with the following documents: PhD certificate CV Publication list with a clear statement on own contribution 2-page proposal
-
100%, Zurich, fixed-term The Astrophysical dust group at the ETH Zürich focuses on the science of cosmic dust nearby and inside the solar system and on the dust interaction with the solar wind
-
master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
-
, Environmental, and Geomatic Engineering, has an opening for a PhD student in model-based planning support for transport and urban systems under uncertainty. Planning transport and urban systems is inherently