Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
documentation Work in a collaborative environment, also with different service-based core platforms (animal, sequencing, metabolomics, and imaging facilities) Active participation in group meetings Independent
-
if there are special grounds, for example, different types of statutory leave of absence. Applicants who are close to finishing a PhD are also encouraged to apply. Further information The position is fully funded by
-
affect of sleep on brain health and cognitive processes. Magnetic Resonance Imaging (MRI) is used in the project in combination with cognitive, neuropsychological and somatic assessments. The position will
-
of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
-
position in the fields of photoreceptors, molecular biology and neurobiology. The ideal candidate is expected to work both independently and as part of an interactive team. The full-time scholarship is for 1
-
developmental project on individual differences in language processing that was funded through the NWO Gravitation grant ‘Language in Interaction’. Behavioural, functional and structural MRI data was collected
-
Postdoctoral Research Associate in Radar Imaging of Geophysical Flows ( Job Number: 25000801) Department of Earth Sciences Grade 7: - £38,249 - £45,413 per annum Fixed Term - Annualised Hours (Full
-
for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
-
place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career. The University is located
-
for foreign researchers who place their qualifications in Sweden. Duties and profile This postdoctoral project is focused on applied AI-based computer vision and precision cancer medicine research centered