Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
-
, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
-
and graduate levels. Teaching will primarily take place within the Life Sciences Engineering curriculum, and the ability to teach STEM subjects will be a positive factor in the evaluation process. EPFL
-
Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
equivalent), MD, MD-PhD or PhD Specialist title degree in psychiatry (ISFM or Mebeko equivalent) or PhD in psychology Proven high level track record in psychiatric epidemiology including expertise in family
-
. We have a co-working, ideation, and event space and offer coaching. In addition, we have a greatly equipped Makerspace that gives students access to the tools and equipment they need to prototype. We
-
over 1'400 PhD students & post-docs. Our mission is to amplify human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We strive
-
100%, Zurich, fixed-term Are you an ambitious postdoctoral scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to
-
project using novel experimental techniques to study fundamental cloud processes. Hands-on experience with leading edge atmospheric measurement techniques (e.g., holographic imager) and UAV technology. A
-
of live imaging approaches and/or structural biology (cryo-EM) – benefiting from the newly established Dubochet Center for Imaging – is of particular interest. Collaborate in the scientific and academic
-
applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied