Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
-
skin diseases. Applying advanced immunological and molecular techniques, such as multiparameter flow cytometry, cell sorting, in vitro differentiation assays, spatial transcriptomics, and in vivo imaging
-
bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
-
Engineering. Work assignments The postdoctoral position centers on developing innovative algorithms and conducting advanced research in the field of digital image/video forensics. The work will specifically
-
international level. Division The successful candidate will work in the Applied Immunology & Immunotherapy group with dr. Sebastian Lewandowski – a team leader in Vascular Neurology. The team is part of
-
in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information Technology, Campus Norrköping. The postdoc
-
advanced imaging, electrophysiology, and molecular techniques. Division The Department of Neuroscience at Karolinska Institute is internationally recognized for its excellence in neurobiology research, with
-
The Centre for Mathematical Sciences has around 150 employees, with approximately 40 in the division Mathematics, Faculty of Science, where this position is situated. Research at the Centre
-
including patch clamp electrophysiology, 2-photon biosensor fluorescence imaging, fiber photometry, optogenetics, and rodent behavioral analysis. This position is ideal for a researcher eager to work in a
-
neurosciences. We combine advanced neuroimaging methods (e.g., MRI, fMRI, diffusion imaging, PET) with computational and data-driven approaches to unravel how the human brain processes information and shapes our