Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- CNRS
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Empa
- University of Twente (UT)
- University of Warwick
- AALTO UNIVERSITY
- FCiências.ID
- Forschungszentrum Jülich
- Instituto Politécnico de Bragança
- Maastricht University (UM)
- NTNU - Norwegian University of Science and Technology
- Newcastle University
- The University of Manchester
- The University of Newcastle
- Universidade de Coimbra
- University of Luxembourg
- University of South-Eastern Norway
- University of Twente
- Utrecht University
- ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação
- Aalborg University
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Copenhagen Business School
- ETH Zürich
- European Commission - Joint Research Centre
- Fondazione Bruno Kessler
- IDAEA-CSIC
- Institut Agro Rennes-Angers
- Institute for Ophthalmic Research
- Institute of materials and machine mechanics Slovak academy of sciences
- Instituto de Engenharia Mecânica
- KNAW
- KU LEUVEN
- Leiden University
- Linköping University
- Lunds universitet
- Monash University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- NTNU Norwegian University of Science and Technology
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Sanquin Blood Supply Foundation (Sanquin)
- Swansea University
- Technological University Dublin
- UNIVERSITE D'ORLEANS
- University Medical Center Utrecht (UMC Utrecht)
- University of Antwerp
- University of Copenhagen
- University of Dundee;
- University of Exeter
- University of Göttingen •
- University of Lund
- University of Minho
- University of Münster •
- University of Oldenburg
- University of Plymouth;
- University of Surrey
- University of Texas Rio Grande Valley
- University of Warwick;
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- jobs.ac.uk
- 55 more »
- « less
-
Field
-
. Special emphasis is given to numerical simulation to reduce the required experimental effort, but the validation of the models on laboratory setup will remain an essential asset. Your role The PhD-student
-
across relevant temperature, composition, and redox conditions, and translating these insights into predictive models for industrial application. You will design and conduct high-temperature equilibration
-
composition, temperature, and pressure, by utilising the experimental facility and modelling expertise at the Advanced Steel Research Centre (ASRC) of WMG. A mathematical model based on the experimental data
-
, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights
-
— reconstruct, imagine, act, reward, monitor. These span robot learning (compositional world models and robot imitation learning, with an extended collaboration with Toyota Research), the QUVA 2.0 lab with
-
, Associate Professor Mrudhula Koshy and Senior Researcher Ryan Eddings at NTNU The exact composition of the team will be decided on the basis of the proposed research focus of the selected candidate. Your
-
PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing airline operations (e.g., fleet composition, scheduling, routing) based on new
-
feedstocks, carbon becomes a critical raw material for everyday materials (e.g., plastics, asphalt, composites, batteries). While renewable carbon can come from biogenic waste, low-grade biowaste is often wet
-
PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
Design the simulaton models that will help airlines fly future aircraft types profitably and sustainably before they take off! Job description Research and industry are increasingly investing in new
-
in the field of machine learning for circular polyurethane design. In your work you will help to develop a quantum-to-plant model to predict polyurethane recyclability and separation energy from