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, or multiome analysis. Strong analytical, problem-solving, scientific writing, and communication skills. Preferred education/experience Experience with machine learning, deep learning, or foundation models
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underlying Duchenne Muscular Dystrophy for clock-targeted therapy · In vivo evaluation of clock-targeting molecules in muscle disease models Our laboratory values scientific curiosity, integrity
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metabolic dysfunction, DNA damage, and cancer progression. · Utilize mouse models and CRISPR gene editing. · Design, execute, and optimize molecular, cellular, and animal experiments with
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the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate treatment. Using a combination of molecular and genomic data and human-in-mouse models, the lab has identified four core subtypes in
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mouse models, stem cell biology, and molecular and imaging techniques to study hematopoietic/leukemic stem cells, and molecular regulation of genomic instability. The outstanding candidate may also be
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· Mechanisms underlying Duchenne muscular dystrophy and related muscle diseases · In vivo evaluation of novel therapeutic approaches using mouse models Our laboratory values scientific curiosity
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alternative delivery systems, targeted delivery, cancer immunology, auto immune disease, primary human cancer cells, cancer and stem cell transplantation models, mouse genetics, molecular biology, biochemistry
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. Programming experience in Python, Matlab, and SQL. Mathematical modeling and data analysis. Machine/Deep learning (e.g. Pytorch, TensorFlow, JAX). City of Hope employees pay is based on the following criteria
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, molecular biology, cell biology, immunology, and in vivo model systems. For more information about Dr. Zhaohui Gu’s lab, please visit: https://gu-lab.net and https://www.cityofhope.org/Zhaohui-Gu As a
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. · Experience in PET radiochemistry or molecular imaging and/or preclinical imaging (PET/CT) and animal models is preferred · A strong publication record in peer-reviewed journals. City of Hope employees