20 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at University of Sheffield
Sort by
Refine Your Search
-
with career stage). Essential Interview / Application / Test In-depth knowledge of Computational Intelligence/Machine Learning systems and methods, in particular those relevant to Explainable AI, Physics
-
or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
-
experience in qualitative and quantitative methods as well as real-world evaluation. The work will include primary data collection (surveys, interviews, focus groups), data analysis (qualitative, quantitative
-
recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
-
development, excellent time management skills and who is able to work on their own initiative, working methodically and accurately to follow procedures and instructions. Main duties and responsibilities First
-
contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
-
contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
-
and Black minority ethnic communities. This mixed-methods study combines a systematic literature review with in-depth ethnographic case studies to identify practical strategies for improving inclusivity
-
PMLD. Design and implement online, asynchronous training materials. Contribute to data collection using quantitative and qualitative methods. Collate, input and organise data into data analysis software
-
, and learning [Application, Interview] ● Knowledge and experience of quantitative research methods [Application, Interview] ● Experience in recruiting and testing participants