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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to...
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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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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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, 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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, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages
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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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models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography/public/ Your qualifications should
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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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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics