Sort by
Refine Your Search
-
to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
-
in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
-
work aimed at 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
-
data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
-
growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
-
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
-
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
-
-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability, and DNA
-
& Immunotherapy group studies why chronic neurodegenerative diseases occur, and then devise ways to prevent or treat them, applying a range of molecular immunological techniques, experimental models and patient