Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
large teams Experience with magnetic cleanliness characterisation and test methods would be another asset Experience in the evaluation of electrical safety and human exposure to non-ionising
-
and professionally through a large variety of courses, training opportunities and conferences. Radboud University is an equal opportunity employer, committed to building a culturally diverse
-
qualification of the Satellite Constellation Control Centre, as well as the distribution of the TT&C information to the Space Segment, in line with the operational concept. You will interface with all Ground
-
large variety of courses, training opportunities and conferences. Radboud University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such
-
traditional large-sample approaches to study fewer individuals in unprecedented detail, leveraging an already collected rich dataset to better understand individual brain differences in autism. What are you
-
, subsidies, confidentiality, liability, etc. These include various types of research contracts, such as large and complex consortia between WUR and multinational companies in the food sector. The department’s
-
been protected from storms by large storm surge barriers such as the Oosterschelde and the Maeslant barriers. But: what is the role of these barriers in the future? As a PhD candidate in this project
-
, Kuario, Inepro, and MXP Registering complaints, requests, information inquiries, and malfunctions, as well as monitoring them in the Facilities Management System Planon Identifying incorrect information
-
-quality sports education and regularly initiates moments of further training, intervision and team building. You are part of this. Information and application You can express your interest in this position
-
(Computational) Social Sciences, Data Science, or a related discipline (e.g., sociology or human geography) by the start of the position; has proven experience in working with large datasets and quantitative