Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
student progress throughout the program. The role will further play an integral part in quality assurance processes on campus under the supervision of the Dean and in partnership with the Director of
-
. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
-
security. Candidates need to be skilled and comfortable with experimental work in cyber security. Although a postdoctoral/research associate candidate will be preferred, this position may also be filled by a
-
the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
-
to facilitate informed decision-making processes. Key Responsibilities: Draft, review, and negotiate a variety of research-related agreements (e.g. award terms, subawards, collaborations agreements, NDA’s, MTAs
-
process. Our lab has been conducting large scale web-based experiments using the masked priming paradigm to measure with high precision how different sources of information are taken into account in
-
on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against
-
expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our
-
-listed candidates will be invited for an online interview. The following assessments may be asked during the interview process: (1) delivering a short research talk on a project the candidate has worked
-
candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art