Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high-throughput modeling over
-
anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
-
or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high-throughput modeling over
-
(Horizon Europe and related programmes). Translate scientific and technical content into clear narratives for different audiences (project partners, stakeholders, policymakers, practitioners, and the general
-
signals are required for C. difficile germination. In nutrient-rich media, genetically identical spores germinate at different times, but in presence of bile salts—exclusively found in the gut—spores
-
interpretation and reporting tasks; Support grant and manuscript preparation efforts. Candidate must be comfortable working on multiple projects in parallel, requiring excellent time management and organizational
-
National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
-
complies with the legal requirements for the formalization of the contract in accordance with the Spanish labor law. To be eligible, candidates must officially apply in parallel to: https://www.unimedizin
-
attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
-
range transducers and arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You