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through cutting-edge research. The Nath lab is seeking applicants for a postdoctoral position in computational cancer biology. Our lab aims to enhance cancer treatment outcomes through two main research
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Join the forefront of groundbreaking research at the Beckman Research Institute of 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...
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computational biology, computational medicine, statistical genetics, biostatistics, computational chemistry, computer science, physics, statistics, mathematics, or applied mathematics. Substantial coding
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(EVs), for groundbreaking minimally invasive diagnostics. Uncover disease-specific molecules within EVs using cell biology and super-resolution microscopy. Contribute to developing a revolutionary
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deciphering their underlying molecular mechanisms in normal developmental processes and tumorigenesis. We cover research areas with relevance to RNA Biology, Cancer Biology, Chromatin Regulation, Cancer
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motivated and innovative Postdoctoral Fellow to join a collaborative and well-established research team. This position offers an exciting opportunity to lead independent projects focused on cancer biology and
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: · A Ph.D. or M.D. degree in broad biomedical sciences. · Proficiency in biochemical techniques, molecular biology skills, and cell culture. · Research experience with in vivo animal
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-high-throughput screening, and structural biophysics. We are looking for a postdoctoral scientist who will work at the crossover of chemistry, biology, and engineering to advance these technologies from
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immunology (cardiac immunology preferred) Training in molecular and cellular biology Proven track record of successful research projects and publications Excellent analytical and problem-solving skills
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the biological mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to