108 post-doc-image-engineering-computer-vision Fellowship positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
join our team in developing innovative CAR-T cell therapies for colorectal cancer. Our lab focuses on engineering immune cells with greater precision, persistence, and safety, using synthetic biology
-
organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
-
instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
-
Disease Center, Advanced Medical Imaging Technology Institute, Medical Chip Research Institute, Clinical Research Center, and Medical Robotics Institute, among others. Leading with solid research
-
the homeostasis of uridine and its role in metabolism, which provides a new angle for understanding the pathophysiology of obesity, diabetes and cancer. Work in the lab utilizes both genetically engineered mouse
-
cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal
-
research clinicians concerned with both basic immunological principles and understanding the immune response through treatment. The post holder will be based within the largest CAR T cell program in Europe
-
and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
-
external partners; and contribute through presentations, publications, and strategic activities. REQUIRED: PhD, MD, or equivalent by December 31, 2025; strong interest in interdisciplinary health/life
-
of immune cells as key regulators of the tumor microenvironment. Collaboration with pathologists for tissue imaging correlations and with computational biologists is expected. The work will largely involve