Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Technical University of Denmark
- CNRS
- ; University of Surrey
- The University of Iowa
- University of Nottingham
- Cranfield University
- FUNDACION DE INVESTIGACION BIOMEDICA HOSPITAL 12 DE OCTUBRE
- Fraunhofer-Gesellschaft
- Ghent University
- KNAW
- Karlsruher Institut für Technologie (KIT)
- Leibniz
- Nature Careers
- Technical University of Munich
- Umeå University
- University of Groningen
- University of Oslo
- University of Sheffield
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Vrije Universiteit Brussel
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ; Cranfield University
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Greenwich
- ; University of Nottingham
- AMOLF
- COFAC
- Chalmers University of Techonology
- Cornell University
- Duke University
- Eindhoven University of Technology (TU/e)
- Fureho AB
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Institut Pasteur
- KU LEUVEN
- Lunds universitet
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Monash University
- Queensland University of Technology
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- SciLifeLab
- The University of Edinburgh
- The University of Manchester
- UCL
- UNIVERSIDAD POLITECNICA DE MADRID
- UiT The Arctic University of Norway
- Umeå universitet
- Universitat de Barcelona
- University of Adelaide
- University of Bergen
- University of Chemistry and Technology Prague
- University of Innsbruck
- University of Louisville
- University of Lund
- University of Stuttgart
- University of Warsaw
- Université Laval
- Utrecht University
- Wageningen University & Research
- Wageningen University & Research; Wageningen
- 57 more »
- « less
-
Field
-
questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
-
at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
-
questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
-
evaluation of different glaciation histories with a focus on the mid Holocene and the Little Ice Age Numerical GIA-modelling with advanced 3D codes, evaluation and validation of results in collaboration with
-
the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
-
design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during
-
will closely cooperate with the PhD student at GFZ in order to link the interpretation of geodetic GNSS measurements with the modelling of glacial-isostatic adjustment (GIA). You will focus your work
-
adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
-
an extrusion machine that produces large-scale earth blocks Building a 3D printer that utilizes earth materials for construction purposes Developing numerical process models that simulate 3D earth printing
-
Prostheses with Real-Life Colour Appearance". The aim of the programme is to produce high-fidelity silicone-based facial prostheses by modern additive manufacturing (3D printing) techniques. The purpose