113 post-doc-image-engineering-computer-vision Fellowship research jobs at Nature Careers
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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, pharmacy, biotechnology or bioengineering. Open to PhD students, PhD, Post-Doc and residents. Permanent positions such as Professors cannot apply. For the entire duration of the grant, applicants must be
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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
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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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
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Disease Center, Advanced Medical Imaging Technology Institute, Medical Chip Research Institute, Clinical Research Center, and Medical Robotics Institute, among others. Leading with solid research
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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
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Postdoctoral Position for Cardiovascular Biology Research at Mayo Clinic (Rochester, MN) The lab of Paul Tang, MD, PhD is seeking motivated, creative and enthusiastic scientists to join us in
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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