Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Your Job: You will be part of the top-class scientific department "Chemical Hydrogen Storage" at the renowned HI ERN. Under the direction of Prof. Dr. Peter Wasserscheid, our department researches
-
, including health economic evaluation and pandemic preparedness? Do you want to contribute to early detection of respiratory viruses and optimize pandemic response strategies? Then we are looking for you! Join
-
modelling framework that can serve as a digital twin of the manufacturing process allowing for a faster and more precise optimization trough virtual engineering.You will work within a research team comprising
-
- and Q-band EPR spectrometer. The candidate will be responsible for designing, building, and optimizing instrumentation and methods to investigate complex catalytic systems — including both synthetic and
-
networks become essential to manage network requests, while maintaining high availability and optimal resource utilization. One PhD studentship is available for work in the area of Digital Twins for optical
-
Networks, and ICT Services & Applications. The SIGCOM research group, headed by Prof. Symeon CHATZINOTAS, carries out research activities in the telecommunication and networking systems, including NTNs and
-
Position in Synthetic Biology and Metabolic Engineering (m/w/d) to be filled as soon as possible. The position is initially limited to three years. The research group headed by Prof. Dr. Hannes Link
-
career, whether in industry or academia. Please contact Prof. Isaac Chang (Isaac.Chang@brunel.ac.uk ) for an informal discussion about the project. Eligibility Applicants will have or be expected
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
? This PhD, working with Prof. Marcelle McManus , provides an opportunity to work to explore and advance novel decarbonisation solutions for high-energy use industrial sites. Your project will be co-created
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control