Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Humboldt-Stiftung Foundation
- Nanyang Technological University
- Villanova University
- ;
- Harvard University
- Indiana University
- UNIVERSITY OF SOUTHAMPTON
- Hong Kong Polytechnic University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Manchester Metropolitan University
- National University of Singapore
- Open Society Foundations
- Princeton University
- University of Birmingham
- University of Cincinnati
- University of Colorado
- University of Massachusetts
- University of Michigan
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 11 more »
- « less
-
Field
-
. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
-
frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience in scalable data processing, including the use of parallel computing, cloud platforms, and distributed systems for efficient
-
in a dynamic and collaborative team. In collaboration with the Edinburgh Parallel Computing Centre (EPCC) and our industry partners, the focus of the role is the development of a new solver for
-
: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
-
, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
-
methods and transmission electron microscopy will take place in parallel with neuropathological and structural studies. The Dementia Laboratory has active collaborations with national and international
-
field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP
-
Research Centre (EPRC). EPRC research covers a range of topics including energy demand, electricity markets, and energy efficiency. In 2017, the ESRI initiated a new, parallel research programme on Climate
-
; Assessment of carbon pricing and carbon markets. The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist
-
sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach