Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Vacancies PhD position on ‘Quantitative and Spatially Resolved Mechanical and Electrical Characterization of high tech functionalized Pigments‘ Key takeaways In this project, you will develop and
-
record proven by relevant experience, publications, etc. The applicant is expected to have: MSc degree in Computer Science, Electrical Engineering, Cryptography, Applied Mathematics, or related field
-
decarbonisation of the energy system requires the large-scale expansion of renewable energy sources for electricity generation, coupled with the electrification of end-use sectors such as space heating and cooling
-
organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
-
institution has granted a Master's degree in Engineering, specializing in mechanical engineering, electrical engineering, computer science, mathematics, or a related field, along with a notable academic track
-
degree in Engineering, specializing in mechanical engineering, electrical engineering, computer science, mathematics, or a related field, along with a notable academic track record. Proficiency in
-
that balance energy supply and demand, improve electricity grid flexibility, and optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to
-
learn in situations that are beyond their current capabilities. The ideal candidate has interests in quantitative methods and has a strong motivation for doing health technology assessment/health economic
-
are seeking a motivated, enthusiastic, and curious PhD candidate to join our Health Technology and Services Research (HTSR) section at the Faculty of Behavioural Management and Social Sciences. At HTSR, you'll
-
approaches. Current food product development struggles to handle the complexity of new, sustainable ingredients. This project will address that challenge by developing automated high-throughput methods