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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | 13 days ago
other modern analytical techniques to perform structural characterization of oligonucleotides. You will learn to employ a higher-dimensional analytical platform for analyzing complex molecules. Laboratory
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Strong analytical, research, and scientific writing skills Proficiency in Python for modeling and machine learning applications Effective communication, teamwork, and presentation abilities Self-motivated
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within and external to the university. Self-directed learner who believes in continuous learning and development Highly proficient in technical writing and presentation Strong analytical and critical
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integrity, safety, and continuous learning in analytical and biological research is essential. To Apply: Make each day matter with a meaningful career at UNSW. Please submit your CV, Cover Letter and
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experience) in applied mathematics, physics or engineering, and strong, up-to-date specialist knowledge in analytical and numerical spray modelling and machine learning. Experience with OpenFOAM or similar CFD
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and