Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
field that the employer considers relevant, such as advanced molecular cell biology, structural and/or functional imaging or application of computational modeling, machine learning and AI to understand
-
to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
-
to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
-
A Postdoctoral Scholarship is available in the laboratory of Prof. Lena Gunhaga at Medical and Translational Biology , Umeå University, Sweden. We are seeking a highly motivated applicant for a
-
results published in top-tier journals. Duties The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering a Postdoctoral Fellow position to
-
combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
-
Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
-
, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
-
) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
-
. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics