Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC
-
The vacancy is within the group of Associate Prof. Dr. Anna Salvati at the Department of Nanomedicine Drug Targeting of the Groningen Research Institute of Pharmacy (GRIP), Faculty of Science and
-
of the FHM team, which is led by Prof. Marcel Zwietering . You will be co-supervised by Dr Cristina Serra-Castelló and Prof. Heidy den Besten . Your qualities a successfully completed MSc degree in a
-
score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
-
skills is referred as the following: An overall score of 6.5 or higher in the International English Language Testing System (IELTS, academic version); or A score of at least 237 on the computer-based form
-
skills is referred as the following: An overall score of 6.5 or higher in the International English Language Testing System (IELTS, academic version); or A score of at least 237 on the computer-based form
-
needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting in the Bachelor’s
-
embedded in the research programme of FEB’s Research Institute. The project will be supervised by Prof. Robert Lensink (Faculty of Economics and Business), email: b.w.lensink@rug.nl , Prof. Han Olff (Faculty
-
this paradox, much experimentation and learning takes place in local places, but making long-term systemic impact remains difficult. Together with change makers, the researchers will examine how to broaden and
-
that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal