Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
crosstalk in glioma. We will apply epigenetic drugs on CRISPR-engineered glioma models to test their impact on metabolic and epigenetic regulations and glioma features. Key Skills, Experience and
-
. Being part of the project will allow the doctoral researcher to enhance his/her knowledge-base and experience; working on the various aspects of the project will not only strengthen his/her academic
-
Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains to remove
-
brain regions in Alzheimer's disease (AD). Your work will include both in vivo and in vitro models, as well as advanced neuropathological analyses of human post-mortem AD brain samples and you will help
-
backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
-
), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating
-
of space-based systems Develop innovative solutions to cope with changing criticalities of workloads Publish research results and present them at international conferences Contribute to reports and research
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
a stimulating, research-focused environment. The PhD student should lead innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and
-
language models) against various threats that may occur in the real-world. Successful PhD candidates will extensively explore and develop software security and testing techniques for machine learning systems