Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- Purdue University
- ; Swansea University
- ; University of Warwick
- Susquehanna International Group
- University of Nottingham
- ; The University of Manchester
- Cornell University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Southampton
- ; University of Sussex
- Abertay University
- Duke University
- Imperial College London
- University of Newcastle
- University of North Carolina at Chapel Hill
- ; Brunel University London
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of Exeter
- ; University of Leeds
- ; University of Nottingham
- ; University of Reading
- AALTO UNIVERSITY
- Brookhaven Lab
- Harper Adams University
- Texas A&M University
- The University of Iowa
- University of Cambridge
- University of Louisville
- University of Minnesota
- University of Minnesota Twin Cities
- University of New Hampshire – Main Campus
- University of Pittsburgh
- University of Southern California
- University of Southern Denmark
- University of Tennessee at Chattanooga
- University of Utah
- 31 more »
- « less
-
Field
-
project offers a unique opportunity to develop a cutting-edge genomic epidemiology toolkit for real-time fungal surveillance. You’ll optimize DNA extraction protocols using advanced enzyme-based methods
-
frameworks to ensure the developed processes are compliant, scalable, and environmentally responsible. Multiobjective optimization algorithms will be employed to balance key performance indicators such as
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
. The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able
-
-electronic and quantum technologies. What you would be doing: Experimental Design and Execution: Plan, conduct and optimize advanced 4D STEM experiments at cryogenic temperatures. This includes working with
-
resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
-
(i.e. red agents). However, due to a fragmented market, rapid technical developments, and nascent research the extent of capabilities and optimal solution architectures are not well understood. Current
-
sensing, and Electromyography (EMG) tools to understand user-device interaction and optimize real-world rehabilitation performance. The student will gain experience in AI, human biomechanics, smart textiles
-
modelling tools (CST or HFSS) - Fabricate and test for optimal electromagnetic performance, such as bandwidth, return loss, insertion loss and power-handling. - Develop and characterize new bonding/alignment
-
aspects of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles
-
become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address