56 computer-science-image-processing-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
so during their one-year training. We emphasize interdisciplinary care with multiple specialties including radiation oncology, surgery, orthopedic oncology, interventional radiology, diagnostic imaging
-
applicants from across the broad field of cognitive neuroscience with an imaging-informed programme that is complementary to our existing research portfolio. The successful candidate's cognitive neuroscience
-
/ET, MRI imaging, Computational biology, AI/ML Faculty recruitment is focused on scientific leaders interested in working together towards this very ambitious scientific goal while also promoting
-
to several pounds (such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and presence of carcinogenic
-
Cardiovascular Data Science Hub. You will be working with Prof O’Regan and his team to support a program of research using cardiovascular imaging, genetics and health data to discover disease mechanisms and
-
neurosciences, cardiovascular sciences or medicine/oncology as well as have an extramurally funded research program that includes human patient based clinical research in either ambulatory, in-patient and/or
-
Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
-
emerging nano X-ray imaging technologies with complementary integrative structural biology approaches for molecular mechanistic studies. Research environment The EMBL Grenoble Unit pursues an ambitious and
-
, or related Experience and skills · Multi- and hyperspectral images processing · Knowledge of quantitative remote sensing · Knowledge of physical and statistical modelling concepts