Sort by
Refine Your Search
-
and advanced live imaging techniques, and/or computational analysis of spatial omics data — experience in two or more of these areas is highly advantageous Knowledge of cancer biology is a large
-
electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
-
, interdisciplinary team working at the interface of computational biology, genomics, and molecular physiology. Our groups, together with close collaborators aims to understand how biophysical microenvironments such as
-
and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
-
Job Description A 9 month postdoc position is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology from December 1, 2025 sponsored by the European Research
-
this process. To facilitate the removal, we can optimize the surface active chemistry such that the system is more prone to destabilize. When several chemistries are present this becomes very challenging and
-
Postdoc position to support international research and capacity-building projects employing elect...
degree in geophysics, engineering, or a related field. Proven experience with EM data processing, inversion, and interpretation (e.g., TEM, AEM). Experience with geophysical inversion software, such as
-
-efficient magnetic heating/cooling device. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol
-
advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. The position is aligned to the Science Team of Plant, Food & Sustainability. Current research is focused
-
Zeeman Imaging Explorer (EZIE) satellite constellation. Observations from ground magnetometers, radars, and satellite missions will be combined to characterize the dynamics of the coupled magnetosphere