Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- ;
- Carnegie Mellon University
- DAAD
- Georgetown University
- University of Newcastle
- Arizona State University
- CISPA (at University of Stuttgart)
- Ghent University
- Imperial College London
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- Purdue University
- Technical University of Denmark
- The University of Chicago
- The University of Iowa
- University of Adelaide
- University of California, Berkeley
- University of Cambridge
- University of Central Florida
- University of Delaware
- University of Idaho
- University of Oregon
- University of Oxford
- University of Sheffield
- 15 more »
- « less
-
Field
-
) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
-
portfolio of work related to prioritisation in cancer care using decision analytic modelling that incorporates constraints such as diagnostic testing capacity and staff availability. Responsibilities will
-
such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
-
computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
-
to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
-
and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
-
. The researcher will use mixed methods, including data from knowledge tests, attitudinal surveys, and focus groups to investigate how the tools function and how they can be improved. The researcher will also
-
Job Description Do you want to be part of a section that aims to reduce the time required for and increase the value of physical testing of wind turbine structural components by using high
-
areas: software testing, runtime monitoring or diagnostics combined with a desire to embed these in today's assurance processes. Knowledge of software development methods (especially agile methods such as
-
of textile materials, and should be enthusiastic to work in a collaborative project between industry and academia.Vacancy 4: PhD (4 years) on design, manufacturing and testing of composite propellers