Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
-
recognizes hydrogen as an efficient, low-carbon solution to achieving greater industrial sustainability and meeting net-zero targets. Implementing this vision necessitates a diverse array of technologies
-
that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3
-
conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
-
computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
-
conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
-
national or international funding to advance science in line with your research vision Participate in teaching activities, including the co-supervision of MSc and PhD student projects Have leadership skills
-
compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in the heart of the city of
-
conceptions of causality, chance, emergence, or chaos theory. The project will be supervised by Dr Marij van Strien and Prof. Klaas Landsman will be your PhD supervisor. As a member of both CHPS and RCNP, you
-
interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation