Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Hannover Medical School •
- Newcastle University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- Leiden University Medical Center (LUMC)
- Linköping University
- Maastricht University (UM)
- The University of Iowa
- Aalborg University
- Amsterdam UMC
- CNRS
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Duke University
- Forschungszentrum Jülich
- Fundación Investigación del Cáncer Universidad de Salamanca
- German Cancer Research Center (DKFZ) Heidelberg •
- Institute for bioengineering of Catalonia, IBEC
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Instituto de Sistemas e Robótica (ISR)
- Josep Carreras Leukaemia Research Institute (IJC)
- KNAW
- Karlsruhe Institute of Technology •
- Leiden University
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute of Biochemistry •
- Munster Technological University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Politecnico di Milano
- SciLifeLab
- Technical University of Munich
- Universitat de Barcelona
- University of Bedfordshire
- University of Bergen
- University of Mainz
- University of Münster •
- University of Pittsburgh
- University of Surrey
- University of Twente (UT)
- University of Tübingen •
- University of Utah
- University of Warwick
- Università degli Studi di Brescia
- Université Paris Cité
- 39 more »
- « less
-
Field
-
machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the
-
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
design of biopharmaceutical formulations and manufacturing processes that involve crystallization or precipitation for the purpose of purification. On the biomedical side, the project will contribute
-
the development of highly predictive and human-relevant biomedical models that overcome major limitations of conventional animal models. The recruited candidate will focus on the development of an advanced human
-
and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
-
and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
-
and quality of publications in the project’s scientific field (30%); b) Participation in R&D projects in the competition scientific field (30%); c) Research experience in signal processing, machine
-
predictive and human-relevant biomedical models that overcome major limitations of conventional animal models. The recruited candidate will focus on the development of an advanced human liver model
-
(NK) cells are central effectors of anti-tumor immunity in the liver, yet their function is strongly inhibited by TGFβ signaling during tumor progression. Recent discoveries suggest that Notch signaling
-
opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
-
emerged as an alternative to conventional ML models, promising a more efficient processing of temporal signals at the edge. This includes a wide range of signals, among which cortical activity for brain