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analyses of experimental fibers Prepare and compose research manuscripts for publication Required Qualifications Ph.D. in Fiber/Textile Science and Engineering, or a related field in Polymer Material Science
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on developing methods for the genetic engineering of grapevine (Vitis vinifera) and potentially other plants with the goal of generating plant varieties with novel desirable traits. Combinations of tissue culture
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collaborations with academic, industry, and international partners. The successful candidate will play a key role in shaping the ACRC’s research agenda, particularly in areas intersecting games, technology, design
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promotions process. About You PhD in a relevant discipline (e.g., environmental science, hydrology, environmental engineering, pollutant modelling, or environmental risk assessment). Demonstrated expertise in
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backgrounds. Working with a network of partners, BSA leverages unique monitoring technology to drive effective rapid response to Jewish hate and all hate, in addition to proactive programs that galvanize
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 2 days ago
them access to unique research opportunities, top scientists and engineers, and state-of the art facilities and equipment. Research Project: AAV is a small viral vector commonly used for gene delivery
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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. Requires a doctoral degree in biomedical engineering, chemical engineering, mechanical engineering, material science polymer science, or related field. Knowledge should be demonstrated in the areas
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significantly cutting waste, water use, and carbon emissions. You’ll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern