356 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Cambridge" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
compromise grid reliability and energy security. We proceed in two steps. First, we use AI-based document analysis and engineering data to construct detailed bills of materials (BOMs) for selected critical
-
high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints. The Opportunity The Early
-
100%, Zurich, fixed-term The brain is a very complex system consisting of billions of neurons that interact with one another. Capturing this network activity at a single-cell level from multiple
-
from restaurants, food vendors and university canteens is often mismanaged (e.g., openly dumped or burnt), resulting in nutrient loss, environmental pollution, and missed opportunities for sustainable
-
service providers operating in high-demand sectors including offshore wind, oil and gas, but also maritime security, demining (UXO, MCM) and search & rescue. As an ETH Zürich Spin-Off, we are a fast-growing
-
100%, Zurich, fixed-term ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools
-
100%, Zurich, fixed-term ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools
-
100%, Zurich, fixed-term The Boeva Lab at ETH Zurich is looking for exceptional, ambitious, and highly motivated postdoctoral researchers or senior scientists to join our team at the forefront
-
to commercial-grade systems, we are seeking a visionary Lead Architect to drive the design and development of the V2.0 system. This role is critical for establishing technical novelty, securing a new IP portfolio
-
The healthcare systems of the future must harness data effectively to support clinicians, allowing them to focus on patient care while leveraging AIto detect patterns beyond human perception