Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- Cranfield University
- Technical University of Denmark
- Umeå University
- Forschungszentrum Jülich
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Nature Careers
- Technical University of Munich
- Leibniz
- Wageningen University and Research Center
- CNRS
- Chalmers University of Technology
- Curtin University
- University of Luxembourg
- Eindhoven University of Technology (TU/e)
- Ghent University
- Hannover Medical School •
- Monash University
- University of Göttingen •
- University of Twente
- ; City St George’s, University of London
- ; Cranfield University
- ; Swansea University
- Erasmus University Rotterdam
- Freie Universität Berlin •
- KNAW
- KU LEUVEN
- Linköping University
- Ludwig-Maximilians-Universität München •
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- University of Nottingham
- University of Oslo
- University of Southern Denmark
- University of Twente (UT)
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ;
- ; Brunel University London
- ; The University of Manchester
- ; University of Birmingham
- ; University of Leeds
- ; University of Limerick
- ; University of Sheffield
- Abertay University
- AcademicTransfer
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- COFAC
- Eindhoven University of Technology (TU/e); Eindhoven
- Fraunhofer-Gesellschaft
- Harper Adams University
- Human Technopole
- Inria, the French national research institute for the digital sciences
- Institute of Materials Science of Barcelona (ICMAB-CSIC)
- Institute of Physics of the Czech Academy of Sciences
- International Max Planck Research School for Living Matter
- International PhD Programme (IPP) Mainz
- KTH Royal Institute of Technology
- La Trobe University
- Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute •
- Leiden University
- Leipzig University •
- Max Delbrück Center
- Max Planck Institute for Mathematics •
- Max Planck Institute for Solid State Research •
- Max Planck Institute of Biochemistry •
- Max Planck Institute of Molecular Physiology, Dortmund
- Max Planck Institute of Molecular Plant Physiology •
- Medizinische Universitaet Wien
- NTNU - Norwegian University of Science and Technology
- Newcastle University
- Nord University
- Roma Tre University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swinburne University of Technology
- Tel Aviv University
- University of Adelaide
- University of Basel
- University of Bonn •
- University of Bristol
- University of Chemistry and Technology Prague
- University of Eastern Finland
- University of Exeter
- University of Groningen; Groningen
- University of Sheffield
- University of Stuttgart
- University of Tübingen
- Università degli Studi di Sassari
- Université de Bordeaux / University of Bordeaux
- VU Amsterdam
- Vrije Universiteit Brussel
- WIAS Berlin
- 84 more »
- « less
-
Field
-
processing approach based on flow patterning to make meter scale LCEs of complex shapes and actuation modes. ALCEMIST builds on a tight synergistic collaboration between the Experimental Soft Matter Physics
-
, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
-
trunk around an object. Unlike traditional robots, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and
-
strong interest in animal behaviour and insect ecology. Specific requirements are: Strong analytical and quantitative skills, with the ability to work with complex behavioral datasets Proficiency in
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
-
Project Description: This funded Humanities PhD project will be conducted as part of the new Centre for Net Positive Health and Climate Solutions. The project will focus on cultural histories of eco
-
highly complex task, as sparse instrumentation does not guarantee direct sensing at all fatigue-critical locations of the substructure’s primary steel. Analytical solutions – so-called virtual sensing
-
sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
-
and materials research that could not be addressed so far due to their high complexity, which prevents approaches that solely rely on classical mechanistic modeling or classical machine learning. Equal
-
-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