Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- University of Groningen
- Forschungszentrum Jülich
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- Chalmers University of Technology
- Cranfield University
- Nature Careers
- Vrije Universiteit Brussel
- ;
- DAAD
- Wageningen University and Research Center
- Aalborg University
- Imperial College London
- Leibniz
- Linköping University
- Monash University
- Purdue University
- University of Adelaide
- University of Southern Denmark
- ; Brunel University London
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Sussex
- AALTO UNIVERSITY
- Brookhaven Lab
- CSIRO
- Erasmus University Rotterdam
- Fraunhofer-Gesellschaft
- ICN2
- Inria, the French national research institute for the digital sciences
- KNAW
- Leibniz Centre for Agricultural Landscape Research (ZALF)
- Leiden University
- Ludwig-Maximilians-Universität München •
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Molde University College
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- RPTU University of Kaiserslautern-Landau •
- Technical University of Denmark;
- Trinity College Dublin
- Umeå University
- University of Bremen •
- University of Cambridge
- University of Houston
- University of Houston Central Campus
- University of Luxembourg
- University of Newcastle
- University of Nottingham
- University of Stuttgart •
- University of Tübingen
- University of Utah
- WIAS Berlin
- 46 more »
- « less
-
Field
-
-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your
-
Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available
-
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
-
December 2018, is to improve patient outcomes by providing education on safe and effective controlled substance prescription use and to serve as a catalyst for collaborative research efforts optimizing
-
the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
-
-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
-
adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
-
. This includes overseeing local plasma experiments, such as the NORTH tokamak and a linear plasma device, and contributing to the design and optimization of antennas for ion cyclotron heating and gyrotrons
-
supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
-
farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome