Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- SciLifeLab
- ;
- Aalborg University
- DAAD
- Delft University of Technology (TU Delft)
- Radboud University
- ; Loughborough University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- Biology Centre CAS
- Curtin University
- ETH Zürich
- Forschungszentrum Jülich
- IMDEA Networks Institute
- IMT Atlantique
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Nature Careers
- Swansea University
- University of Antwerp
- University of Iceland, School of Engineering and Natural Sciences
- 13 more »
- « less
-
Field
-
education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
-
communications. Evaluation of model performance can be conducted based on the data collected through the water tank. We have the GPU machines ($14k) to develop deep neural networks for underwater communications
-
networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
-
music synthesis system that is trained only on commercially usable data? Can we train a high-quality music synthesis system on a single GPU? 1.3. Considered methods, targeted results and impacts
-
-fidelity simulation data will be used to build the machine-learning model to be then embedded into a GPU-accelerated blade-element momentum solver that will be made open-source to enable direct impact with
-
measuring the environmental impact. This impact can be measured and calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams
-
calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
-
within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Requirements: A master's degree in Biotechnology, Bioinformatics or a closely
-
. The Center has state of the art equipment within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Requirements: A master's degree in
-
data processing capabilities, and to high-end GPU servers. The candidate is expected to contribute to the long track record of the group in producing new knowledge of and modeling approaches