Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
, AI/ML data pipelines, cloud-native and distributed infrastructures, knowledge management and information retrieval, and responsible data engineering. Priority will be given to candidates who
-
spatial and temporal resolutions by analyzing point cloud and camera data You will develop a deep understanding of debris flow motion, and use this to perform hypothesis driven analysis of in-situ debris
-
Performance Computing (HPC) clusters and supercomputers. The project with limited project financing and therefore limited contract duration aims to bring cloud-like deployment, automation, and security
-
-class infrastructure is available, including a full range of experimental and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU
-
, Podman, containerd) Experience operating container orchestration platforms (Kubernetes) Experience deploying applications in cloud-native environments (e.g., Helm, Terraform) Experience with on-premises
-
Particular focus will be placed on deriving velocity and flow depth estimates at unprecedented spatial and temporal resolutions by analyzing point cloud and camera data You will develop a deep understanding of
-
languages). • Experience with Linux environments, workflow management systems, containerization technologies and cloud or high-performance computing infrastructures. • Familiarity with genomic data
-
mixed on-premises and cloud environment. Proven expertise in network and firewall administration (Sophos experience is an advantage), identity and access management (Active Directory, Google Workspace) as
-
Zurich. The four-year project, funded by the Swiss National Science Foundation (SNSF), will investigate the in-cloud scavenging processes of plastic aerosol particles through laboratory experiments
-
functional web interface Comfortable learning unfamiliar technologies and improving an existing prototype step by step Familiar with Git; experience with LLM workflows, Docker, or cloud deployment is an