68 data "https:" "https:" "https:" "https:" "Uppsala universitet" positions at Utrecht University in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
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
-
interests and background Participate in other activities related to the undergraduate program such as providing information Where to apply Website https://www.academictransfer.com/en/jobs/359805/junior
-
2 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Biological sciences » Biology Physics » Statistical physics Researcher Profile First Stage Researcher (R1
-
PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
-
facility. Your focus will be on delivering high quality data and sample preparation assistance, primarily on the Krios microscope, while also optimizing the operation of the pFIB. In a collaborative, cross
-
knowledge exchange between the two collaborating labs, and benefit from annual opportunities to attend conferences in the field. In this position, you will: Generate bulk and single cell transcriptomics data
-
: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
-
Consultant Research Data Management & Communication Adviser Faculty: The University Corporate Offices Department: Utrecht University Library Hours per week: 32 to 40 Application deadline: 16
-
collaborative project environment. Must-have qualifications: a completed PhD in Media Studies, Communication and Information Studies, Education, Science and Technology Studies (STS), or a closely related field; a
-
and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and