Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
-
Nanomagnetism, supervised by Prof. Bert Koopmans, based at Eindhoven University of Technology. In this project, we aim to develop an optical pen using laser-induced magnetization dynamics and switching to write
-
of Technology Mathias Peirlinck creates 'digital twins' of the human heart: personalised computer models that map the functioning of each unique human heart. This work paves the way for the development of more
-
PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
-
, cell biology, tissue culture and advanced imaging to study cellular processes during regeneration. You will assist in teaching the new Crop Biotechnology and Engineering (CBE) MSc programme, for example
-
electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
-
Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and
-
departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by
-
founding member of BRAINS , the Center for Brain-Inspired Computing at the University of Twente About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
-
to genomic and epidemiological data; design controlled computational experiments (simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets