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Field
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close to completing, a PhD in Chemical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field Strong candidates will have expertise in one or more of the following areas
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Scholar/Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training
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on their research and innovation campus. Required Qualifications - PhD and/or MD in Computational Biology, Bioinformatics, Genomics, Biology, Data Science, Computer science or other related fields. PhD must be
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of Medicine. The successful candidate will study novel mechanisms of drug resistance in cancer and investigate new synthetic lethal combinations of targeted therapies. Eligible candidate will be considered
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close to completing, a PhD in Chemical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field Strong candidates will have expertise in one or more of the following areas
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. Analyze data. Prepare presentations and reports. Attend laboratory meetings and present research progress. Required Qualifications: • PhD in Mechanical Engineering, Electrical Engineering, Bioengineering
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic
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outcome of airway and brain disorders (JACI. 2020. 145 (5): 1469, J Exp Med. 2020. 217 (4)). The candidate should have strong interests in exploring novel immune cells and the mechanisms of human health and
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the Zhivagui Lab. Our lab uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and