Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the advent of 5G/6G networks, the Internet of Things (IoT), and edge computing. This evolution enables services to be deployed across the edge-network-cloud continuum [1], leveraging heterogeneous
-
. Education Master’s degree or equivalent studies in Computer Science or a related engineering field. Experience and skills At least 3 years of experience in platform engineering, cloud-native infrastructure
-
, and enforcing structural coherence even from sparse or noisy point clouds. Finally, we will investigate how to embed notions of discrete differential geometry directly into the learning process, so that
-
is heavily focused on Windows Server, Active Directory, and Microsoft 365, while also supporting Azure cloud services and hybrid infrastructure environments. The ideal candidate is a hands‑on engineer
-
cloud and HPC platforms to provide powerful compute capabilities to our users. In this role, your contribution will help to deliver the Franklin’s mission to drive forward technology development in
-
). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
-
-performance computing using hybrid cloud, artificial intelligence (AI) and quantum computing technologies to empower and accelerate big data research, with more than 60 research projects in progress. The Center
-
cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
; Quantitative Synthetic Biology; Integrated Circuit Material Packaging; Brain-computer Interfaces and Intelligent Systems; Cloud-Edge Collaborative Artificial Intelligence; Embodied Artificial Intelligence Robots