Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- RWTH Aachen University
- GFZ Helmholtz Centre for Geosciences
- Leibniz
- Forschungsinstitut für Nutztierbiologie (FBN)
- Heraeus Covantics
- Ludwig-Maximilians-Universität München •
- Multiple
- University of Bremen •
- University of Potsdam •
- University of Stuttgart
- Universität Düsseldorf
- 4 more »
- « less
-
Field
-
-Curie Doctoral Network “SPACER“. It will be carried out by one doctoral candidate at the University of Stuttgart, Institute of Smart Sensors (IIS), with PhD supervision by Prof. Jens Anders and co
-
include: Applying controlled stress treatments Phenotyping stress responses with various sensors and gene expression studies in real-time PCR RNA sequencing and transcriptome analysis with corresponding
-
Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside Europe
-
particular focus on the biosynthesis pathways of secondary plant metabolites (flavonoids). Your tasks will include: Applying controlled stress treatments Phenotyping stress responses with various sensors and
-
are: Incorporation of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime
-
multidisciplinary and multisectoral project? INTROS is the project for you! Find below more information. About INTROS The INTROS project, a Marie Skłodowska Curie Action Industrial Doctorate network (MSCA-DN-ID), is
-
of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime You will
-
heterogeneous and opportunistic sensor networks. Therefore, such an approach may significantly improve rainfall and runoff predictions. Research goals: Our primary goal is to improve the accuracy and prediction
-
, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
-
Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design