Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
computing in materials. You will use a combination of cryogenic scanning probe microscopy techniques beyond the state of the art in high magnetic fields. You will study (quasi) 2D materials and use atomic
-
(completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion
-
Work and science require good employment practices. Radboud University's primary and secondary employment conditions reflect this. You can make arrangements for the best possible work-life balance with
-
Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions . You can make arrangements for the best possible work-life
-
26 Aug 2025 Job Information Organisation/Company Radboud University Research Field Biological sciences » Biodiversity Biological sciences » Botany Environmental science » Ecology Researcher Profile
-
28 Aug 2025 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Country
-
29 Aug 2025 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Biological sciences » Zoology Researcher Profile Recognised Researcher (R2) Country
-
perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
-
Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
-
Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative