11 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions at City of Hope
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biochemistry, molecular biology, and cell biology methods with state-of-the-art technologies such as comprehensive mouse phenotyping, 3D tissue clearing & imaging, in vivo transplantation and 3D imaging
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, cell imaging and data analysis · Experience in statistical methodologies · Excellent written and verbal communication skills · Publications in peer-reviewed journals
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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. This project offers unique multidisciplinary training in antibody engineering (design, production, purification and conjugation), molecular cancer biology, precision immuno-oncology, molecular imaging (immunoPET
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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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utilizes genetic mouse models, molecular biology, imaging and epigenetic techniques to study the cellular identity, function, remodeling, and survival of beta-cells in physiological and pathological
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responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs). 3. The genetic basis
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, cancer metabolism, bioinformatics, pathology, proteomics, transcriptomics, epigenomics, molecular imaging, and translational science. Have the opportunity to pursue T32 grant funding for their postdoctoral
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. Preferred qualifications: Familiarity with Molecular Dynamics methods and experience in code development. City of Hope employees pay is based on the following criteria: work experience, qualifications, and
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. Conduct imaging experiments using single molecule localization microscopy. Complete data analysis to characterize the molecular content of extracellular vesicles.