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
- 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 Florida
- University of Glasgow
- University of Minnesota
- University of Minnesota Twin Cities
- University of New Hampshire
- University of Sheffield
- University of Sheffield;
- University of Southern Denmark
- Utrecht University
- 33 more »
- « less
-
Field
-
variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
-
. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility will
-
et al (2015). A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem. European Journal of Operational Research.
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
-
scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
-
modeling tools and HDL simulators to validate functionality. Collaborate closely with algorithm designers to co-optimize architecture. Publish results in high-impact journals and conferences. Qualifications
-
. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
-
abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
-
for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development