Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-level work in multiple trades and provides technical leadership to support safe, reliable, and continuous operation of UREC facilities. The position supports complex building systems including aquatic
-
datasets, spreadsheets, or structured documents. Assist with basic data analysis, such as descriptive statistics, simple comparisons, trend identification, or visualizations under faculty guidance
-
Transition” and “GRACE: Glass for Reliable and Circular Power Electronics” within the research program " Sustainable Power Electronics and Electrifications " and the PhD Students will be positioned in
-
that enhance access, efficiency, and quality across UCSF Health. This role blends strategic analysis and advisement, structured project management, and collaborative problem-solving. Under the direction
-
interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
-
. This position will report directly to Dr. Amy Esler. Job Responsibilities Assessment Administration (70%) Complete Human Subjects ethics and clinical assessment training Reliably administer participant
-
maintenance issues long before our clients realize a repair is needed and take a thoughtful approach to using their resources, structuring processes, and providing the best client service and use of university
-
performance, reliability, and that all users are trained and comfortable with their operation. The position manages the construction and renovation of classrooms and is aware of the trends in AV technology. Act
-
good communicative skills. You are reliable and can work autonomously. You have knowledge of university processes and structures. You have experience abroad. What we offer: Work-life balance: Our
-
Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD project will develop a methodological framework for reliability-based structural