Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in
-
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
-
for the position: PhD in a biomedical field or in image analysis. Extensive experience in confocal microscopy, live-cell microscopy, and analysis of live-cell microscopy data. Additional qualifications
-
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
-
Qualifications To qualify for the position, you must have: A PhD in Structural Engineering, Building Materials, or a closely related field, awarded no more than three years before the application deadline* Strong
-
biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
-
biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
-
fellow with the following requirements: A PhD in immunology, molecular biology, or a related field (degree must be completed before the start of the position). Strong theoretical knowledge and hands
-
visualization groups (iVis, https://ivis.itn.liu.se/ ) and will be collaborating closely with the computer graphics and image processing group and researchers from the Department of Thematic Studies. The iVis
-
to analyze histopathology images, clinical and molecular data. Computer vision and deep learning techniques are central in our research projects aimed at improving cancer patient risk stratification. As a