Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 34,000 students and researchers alike to develop
-
strong quantitative background The ability to work independently and as part of a team in a multidisciplinary research environment For this position your command of the English language is expected to be
-
courses in WUR’s teaching programs. Organisation of, and participating in, events and feedback sessions with the foundation Managing Public Space You will work here The research is embedded within two
-
. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do
-
oriented university that ranks among the top European universities. Researchers and lecturers in numerous fields are passionate about their work and are given the opportunity to develop. The university makes
-
efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation through a fuel-cell management prototype, achieving better performance and durability. In 2020, we introduced the concept
-
operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
-
for how cyberhate might affect societal cohesion and increase the risk for offline violence. Research is lagging behind on this contemporary challenge, with schools and governments playing catch up on how
-
data into models and ensure knowledge transfer to other work packages (WPs) and stakeholders. Communicate research findings through scientific publications, public engagement activities, and
-
to broader discussions on the emergence of social inequalities. The candidate will work as part of a research team. The PI will focus on methodological challenges for reconstructing social inequalities in late