Sort by
Refine Your Search
-
of anatomical and pathological regions of interest Image enhancement e.g. improving resolution, noise, artefacts etc. Synthetic radiography Your job responsibilities As Postdoc in advanced image processing your
-
lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and
-
We invite applications for a 24-month postdoctoral scientist position to join our team within the project ReFuel: Harnessing archaeal processes to capture carbon dioxide into alkanes as renewable
-
The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
-
. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
-
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
-
Postdoc opportunity within single molecule fluorescence imaging funded by Villum fonden. We seek a postdoc candidate with experience in experimental biophysics to join the single molecule biophysics
-
trials, longitudinal cohort building, multi-modal imaging, biobanks, epidemiology, neuropathology, wearables and biotech, experimental disease models including animal and cell models, and basic science
-
the university hospital and the regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and
-
The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a postdoc position in the field of medical physics, within the topic image-based analysis