Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Zurich and the University of Zurich that applies the latest omics technologies for biomolecular research and personalized medicine. The FGCZ Genome Informatics group supports researchers with the analysis
-
100%, Zurich, fixed-term The Chair in Nonlinear Dynamics at ETH Zürich is seeking a highly motivated PhD student in the area of data-driven model-reduction for high-dimensional nonlinear physical
-
). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and external seminars, etc. UNIL is committed
-
framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using
-
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
-
framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using
-
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
-
to other non-technical audiences on occasion. Profile We are looking for candidates (m/w/d) with the following profile: Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus
-
quality. Monitor and optimize logistics and global distribution strategies. Quality & Regulatory Guide quality team in implementing a robust quality management systems in accordance with ISO 13485, FDA QSR
-
(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and