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experience with molecular biology. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill
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. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill with molecular cloning. Experience
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). Experience in interdisciplinary team-based research. Preferred Qualifications: Prior research experience in computational biology, applied mathematics, or quantitative biology. Familiarity with numerical
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passive acoustic monitoring, animal communication, acoustic and video analysis methods, soundscape ecology, emerging technology and quantitative approaches, or conservation mediated through acoustic methods
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Visiting Research Assistant Professor Bioengineering - Pennsylvania-Pittsburgh - (25005391) The 7 Tesla Bioengineering Research Program (7TBRP) in the Department of Bioengineering at the University
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possess superior scientific and numerical skills, as well as meticulous attention to detail and accuracy. Spanish language proficiency is preferred. About the Kinder Institute for Urban Research The Kinder
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functional aspects of human physiology and disease. The departments Ph.D. program in Biomedical Sciences provides rigorous, interdisciplinary training that prepares graduates for a variety of leadership roles
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with strong expertise in biostatistical methods and database management to support clinical and laboratory-based research in the field of advanced HIV disease and opportunistic infections. The ideal
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publication of numerous outstanding research articles. Experience in developing space instruments is also advantageous. A Ph.D. in Space Physics or a related field is required. The term of appointment depends
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members on poster/paper preparation for conferences. Requirements Minimum Acceptable Education & Experience : Bachelor of Science in Computer Science, Cybersecurity, Data Science, or related field