Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ; CRUK Scotland Institute
- ; Loughborough University
- ; Pembroke College
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- CZECH UNIVERSITY OF LIFE SCIENCES
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Oxford
- 5 more »
- « less
-
Field
-
of GPUs and/or time in either training or inference procedures, which pose considerable challenges to both academia and industry for widespread access and deployment. In particular, the sampling process of
-
nature of electroweak symmetry breaking and mass generation in the standard model. We developed state of the art (open source) software working on GPU- and CPU-based supercomputing architectures, and
-
analysed in a standard web browser. HiPIMS computations can be executed on local GPUs or through cloud-based GPU services, empowering users to conduct large-scale fast flood simulations without worrying
-
GPU NVIDIA H100. Interdisciplinary collaborations with AI researchers and clinicians from NHS hospitals. Participate in large collaborative project funded by the National Institute of Health and Care
-
for collaboration inside and outside of the University. It has access to extensive dedicated computing resources (GPU, large storage). The successful applicant will work under the supervision of Prof. Hain. Please
-
support brain imaging experiments (i.e., fMRI studies) in collaboration with a postdoc on the project, understanding how these biases might emerge in the brain. You will join the project at its earliest
-
instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
-
us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
-
national high-performance computing facilities (both CPU and GPU-based) to conduct large-scale simulations efficiently. Working closely with experimental collaborators to validate computational predictions
-
Programme, the EU’s primary funding program for research and innovation. The synthesis centre hosts collaborative interdisciplinary working groups from outside institutions, along with a team of new postdocs