160 parallel-computing-numerical-methods-"Prof" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of Mathematics] can be found on our website: [https://dm3l.uzh.ch or https://math.ethz.ch]. For further information, please contact (Prof. Nicola Serra or Prof. Alessio Figalli) by e-mail (nicola.serra@uzh.ch
-
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
-
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
-
consortium of academic institutions to solve challenging model reduction problems using SSM-reduction and compare this approach with other model reductin methods, such as dynamic mode decompostion (DMD
-
100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
-
. Your key responsibilities will be: Research and development of the Urban-scale Building Life-cycle Carbon Calculator web app, advised by Prof Rudi Stouffs (NUS) and Dr Pieter Herthogs (SEC). This work
-
100%, Zurich, fixed-term The Research Group for Peptide-Based Drug Discovery (Prof. Nathalie M. Grob) at ETH Zürich in collaboration with Novo Nordisk in Copenhagen, Denmark is looking
-
) at ETH Zürich within the Centre for Digital Health Interventions . You will lead the Revelio initiative and co-supervise two PhD students in close collaboration with Prof. Elgar Fleisch (ETH Zürich) and
-
) methods to modulate brain function during wake and sleep and on understanding how the brain interacts with other bodily functions. The majority of our studies are conducted in healthy volunteers; however
-
100%, Zurich, fixed-term The CMR group at the Institute for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next