20 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs at City of Hope in United States
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. Gu’s lab and research, please visit: https://gu-lab.net and https://www.cityofhope.org/Zhaohui-Gu As a successful candidate, you will: Design and execute experiments to understand the molecular
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multidisciplinary skills in experimental and computational biology to study blood cancer and the immune system and develop new therapies. · Get to apply advanced single-cell multi-omic and genomic engineering
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: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
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-life environmental exposures and the prenatal origins of childhood leukemia, for example in our ReCord Study (https://record.umn.edu ). Applicants are required to submit a CV accompanied by a cover
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Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages advanced multi-omic technologies, coupled with experimental perturbations and
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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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through cutting-edge research. A postdoctoral research fellow position in the department of Computational and Quantitative Medicine. For more information about Dr. Vaidehi’s lab, please visit here. As a
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, including stem cell biologists, immunologists, cell therapists, microbiologists, and computational biologists. Career Development : Over the last two decades, the van den Brink lab has mentored many
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine
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, immunohistochemistry, or genomic technologies. Demonstrated productivity through peer-reviewed publications. Preferred qualifications: Strong research background in genetic engineered mouse modeling, molecular and