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candidate will have (or be soon completing) a doctoral degree in biomedical engineering, chemical engineering, pharmaceutics, or a related field. The candidate must be highly motivated with evidence of
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are desirable. The successful candidate will be joining a team of biomedical engineers, cancer biologists, and radiation oncologists and will contribute to the ongoing work in the treatment of cancer and other
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., Pharm.D., or M.D. in biomedical or related sciences (Chemistry, Pharmacy, Molecular Biology, Biochemistry, Pathology, Biomedical Engineering, etc.) with at least one year of bench research experience
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with the skillsets, resources, and mentorship to get you to the next stage of your career. We welcome applicants from a wide range of backgrounds, including stem cell biology, biomedical engineering
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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. The initial duration of the position will be for 2 years with a possible renewal dependent upon funding and satisfactory performance. Key Areas of Responsibility: Maintain a strong awareness of current
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cell technology. Experience with RNA sequencing, gene editing (CRISPR-Cas9), single particle imaging, and large data set analysis. Proficiency in programming languages like R, python, Matlab Online
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technology to track single GPCR molecules on cardiovascular cells derived from healthy and diseased patients. Through our collaboration with the Stanford Cardiovascular Institute, the lab has access to one
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and
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inflammasome activation, autophagy and host defense. By using genetically modified animal models and cutting-edge technology, we aim to reveal the underlying mechanisms of LRRK2-mediated signaling in health and