Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
projects Publish in high-impact scientific journals Present research at leading international conferences Develop strong academic and transferable skills PHAETHON offers a vibrant, multicultural, and
-
The Recognised Researcher (R2) position is intended for early-career researchers holding a PhD who are developing their scientific independence. The successful candidate will contribute to high-impact research
-
systems for sensing and laser applications. We develop proprietary photonic components and integrated systems that serve research institutions, industrial partners, and high-performance sensing markets
-
will conduct research and develop products under multiple Eratosthenes Centre of Excellence projects funded by the European Union, including the flagship Excelsior H2020 Teaming project (https
-
Professional Development can be found at the following link: DEVELOPMENT OPPORTUNITIES AND EQUALITY POLICIES The OTM-R (Open - Transparent - Merit Recruitment Policy) for Researchers of the University can be
-
to the Recognised Researcher (R2) level. The role offers the opportunity to gain research experience in areas such as renewable energy, smart grids, and energy analytics, while developing core research skills within
-
the development of high-fidelity multiphysics models of existing research infrastructure, as well as novel system architectures and emerging energy concepts under investigation. A central component of the position
-
, including the potential to collect sensitive information, cause physical damage, and endanger human lives. In response to these challenges, the European MSCA Doctoral Network SecReSy4You aims to train a new
-
, including the potential to collect sensitive information, cause physical damage, and endanger human lives. In response to these challenges, the European MSCA Doctoral Network SecReSy4You aims to train a new
-
development. Job Details The successful candidates are expected to: • Conduct research in computer vision and deep learning, including literature review, hypothesis formulation, and experimental design