Sort by
Refine Your Search
-
our BSc Management, Society & Technology, the MSc Public Administration and MSc European Studies programs. You will also supervise bachelor, master and PhD theses. What are you going to do? You are
-
as well. You have a solid background in systems and software security and have knowledge and skills in topics such as fuzzing, static analysis, and symbolic execution. You are an independent and original
-
postdoctoral researcher, you will collaborate closely with a multidisciplinary team, including Amsterdam University Medical Centre and international industrial partners. Your primary goal will be to develop
-
of learning with limited data and computational resources, pertinent in areas such as autonomous systems, online resource allocation, and complex decision-making processes. Main Responsibilities: Conduct
-
length and time scales. One of the main challenges in submarine granular flows is the complex yielding transition from static to motion, which is governed by the spatially and/or temporally varying length
-
details of at least 2 referees and a TOEFL or IELTS score to verify sufficient mastering of the English language. An interview will be part of the selection procedure. For more information regarding this
-
policymakers. Additional Information Benefits We offer you a very challenging position in an inspiring multidisciplinary environment. In this time, we will provide you with a tailor-made post-master design
-
your background and experiences align with the requirements of this project Detailed Curriculum Vitae (CV): The CV, should include, if applicable, a list of publications; Bachelor and Master transcripts
-
PhD position Facilitating the co-creation of sponge measures and strategies in European river basins
, including a list of all courses attended and grades obtained, the title and resume of your bachelor and master thesis, and extracurricular activities. If applicable, a list of publications. Please also
-
to staff position within a Research Infrastructure? No Offer Description The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy