Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- CNRS
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Monash University
- SciLifeLab
- Tilburg University
- University of Oslo
- University of Twente (UT)
- Uppsala universitet
- Łukasiewicz Research Network - Krakow Institute of Technology
- AALTO UNIVERSITY
- CEA Paris-Saclay
- Constructor Knowledge Labs gGmbH
- Forschungszentrum Jülich
- Göteborgs universitet
- Harper Adams University
- Heriot Watt University
- Institutionen för Biologi och miljövetenskap
- KU LEUVEN
- NTNU Norwegian University of Science and Technology
- Nantes Université
- Norwegian University of Life Sciences (NMBU)
- Oak Ridge National Laboratory
- Personalabteilung der Montanuniversität Leoben
- Queensland University of Technology
- Technical University Of Denmark
- Technical University of Denmark
- Technical University of Munich
- The Norwegian School of Sport Sciences
- The University of Manchester
- UNIS
- University of Bedfordshire
- University of Copenhagen
- University of East Anglia
- University of Luxembourg
- University of Surrey
- University of Twente
- University of Warwick
- 31 more »
- « less
-
Field
-
on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
-
activity in vitro; basic knowledge of bioinformatics, molecular modelling and docking and/or structural analysis of protein–ligand complexes, as well as the ability to use in silico results to guide
-
in order to recruit 11 outstanding PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling
-
to better understand and control the manufacturing process so that small, precise, and reliable structures can be produced efficiently. These developments will contribute to the project's broader
-
, materials science, polymer engineering, or a comparable field of study In-depth knowledge in the areas of polymer materials, polymer characterization, and data analysis Excellent computer skills and
-
and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern
-
, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
-
vision, audio analysis and explainable AI methods. Rather than assuming that behavioural signals reveal personality, deception or suitability, the research will test whether any signals provide reliable
-
-assisted soft-mist inhaler for patients who cannot reliably use conventional inhalers because of weak or irregular breathing. Many inhalers depend on the patient generating sufficient inspiratory flow and
-
(between one and two weeks for each mission). A knowledge of various data processing techniques is essential, as is the ability to create reliable databases. Knowledge of the operation of an electrical grid