Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
element of leadership and development, and the University systematically strengthens these capabilities to drive strategic change and achieve sustainable impact. In this role, you will further develop
-
Behaviour in Turbulent Fluids through Analytical and Probabilistic Methods” (grant number 233216). The successful candidate will investigate both phenomenological and theoretical aspects of turbulent fluids
-
by combining advanced biophysical methods, with a particular emphasis on NMR spectroscopy for structural and dynamic insights into intrinsically disordered proteins, as well as complementary
-
and causes of infections and non-communicable diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from
-
applications. The division is focused on the development and application of novel computational methods at the interface of deep learning and classical biophysical modeling to address relevant topics in drug
-
through Analytical and Probabilistic Methods" (grant number 233216). The successful candidate will investigate both phenomenological and theoretical aspects of turbulent fluids, focusing on topics such as
-
has seen rapidly growing demand in recent years. In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on artificial intelligence, for modelling of macromolecular complexes
-
to develop a research project that fits into the broad scope of bacteria-jumbophage interactions PhD or equivalent degree with ideally a strong component in any of the following areas: microbiology
-
-dimensional quantum materials and develop advanced sensing methods for future quantum technologies. You will be embedded in a vibrant, international research group with strong expertise in quantum sensing and
-
fundamental elements of scalable quantum computing with spins qubits in silicon and germanium. More details are available from https://nccr-spin.ch. Linked to NCCR SPIN, a tenure-track assistant professorship