Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- University of East Anglia;
- University of Cambridge
- University of Nottingham
- ; Swansea University
- ; University of Exeter
- Newcastle University;
- Susquehanna International Group
- The University of Manchester
- University of Bristol
- University of Newcastle
- University of Surrey
- University of Texas at Austin
- ;
- ; Brunel University London
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Southampton
- Brookhaven National Laboratory
- Drexel University
- Durham University;
- Harper Adams University
- Imperial College London
- Keene State College
- National Renewable Energy Laboratory NREL
- Nature Careers
- Newcastle University
- Tel Aviv University
- The Medicines And Healthcare Products Regulatory Agency;
- UNIVERSITY OF VIENNA
- University of Alabama, Tuscaloosa
- University of Birmingham
- University of Cambridge;
- University of East Anglia
- University of Glasgow
- University of Minnesota
- University of Minnesota Twin Cities
- University of Sheffield
- University of Sheffield;
- University of Southern Denmark
- Utrecht University
- 32 more »
- « less
-
Field
-
join a growing, interdisciplinary team whose projects span laboratory-level and nationally significant DOE missions. Essential Duties and Responsibilities Develop novel machine learning algorithms and
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
-
context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
-
capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
-
physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere
-
new brain stimulation methods, you will contribute to developing closed-loop algorithms for regulating brain dynamics with clinical applications in epilepsy and psychiatric disorders. Number of awards
-
modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
-
can feed directly into precision surgery algorithms and clinical trials. Few PhD projects offer such a clear line of sight from variant to mechanism to clinical translation. Located on the thriving
-
or potential damage to the rail surface. The Research: This project aims to transform this process by developing a novel machine learning (ML) tool and utilising cutting-edge machine learning algorithms