Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Texas at El Paso
- Cranfield University
- University of Exeter;
- Susquehanna International Group
- University of Birmingham;
- Duke University
- University of Birmingham
- University of East Anglia
- ;
- Purdue University
- Swansea University
- The Ohio State University
- The University of Edinburgh
- University of Cambridge
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Brookhaven Lab
- CNRS
- Eindhoven University of Technology (TU/e)
- Imperial College London;
- Loughborough University
- Manchester Metropolitan University
- Massachusetts Institute of Technology (MIT)
- Newcastle University
- Rice University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester
- The University of Manchester;
- Ulster University
- University of East Anglia;
- University of Exeter
- University of Leeds;
- University of Newcastle
- University of Oxford;
- University of Plymouth
- University of Sheffield
- University of Southern Denmark
- University of St. Thomas
- University of Sussex;
- University of Tennessee at Chattanooga
- University of Utah
- University of Warwick;
- Virginia Tech
- 37 more »
- « less
-
Field
-
the Southwest. Geospatial and engineering analyses will identify optimal sites and system configurations, while collaboration with the Law School will assess legal and regulatory frameworks, planning constraints
-
storage systems (ESSs), and electric vehicles (EVs) that collectively form a local energy community (EC). ECs are supposed to facilitate direct peer-to-peer (P2P) energy trading mechanisms to optimize
-
frequency regulation, energy scheduling, and overall smart grid system optimization. Moreover, such complex interconnections between power system dynamics, communication networks, and information
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
-
sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
-
effects of altered oxygen concentration and pressure on the human brain limits the implementation and optimization of treatment protocols. Building upon the findings of our recent studies, this PhD will
-
or crinkled. The PhD student will investigate different biomimetic materials and explore how to build membranes with complicated morphologies that will deliver optimal performance in devices. The project will
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
close collaboration at all stages of a research project exploring applications of deep learning and artificial intelligence to dynamic portfolio optimization problems. This position offers the opportunity
-
the evaluation, the intensification and the optimization of carbonation (biotic and abiotic) processes involving different feedstocks, to address three different applications of industry decarbonation, in straight
-
for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners