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science and human translational research. Research Responsibilities The successful candidate will receive hands-on training and participate in: • Processing human blood samples and isolation of blood
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and management of pregnancy-related conditions and complications (including gestational diabetes, hypertensive disorders of pregnancy, and excessive gestational weight gain) and their downstream
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contribute to environmental microbiology research involving the collection and processing of environmental and biological samples, including wastewater, surface water, soil, and human and animal specimens
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, meaningful workforce data and analytics. This role requires a strong understanding of Workday HCM and Payroll business processes, particularly within the complexities of a decentralized higher education
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and translational laboratory research by performing routine and increasingly complex experiments involving human samples and cultured cells. The position assists with sample processing, cell culture
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build and maintain the data solutions. Understanding the data schema and the context by which the data are being collected is critical in its subsequent downstream application. You will use relational
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, and preserve tissues and biological samples for histology, molecular biology, imaging, transcriptomic, and other downstream analyses. Maintain accurate and comprehensive records of animal colonies
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of Chemical, Materials and Biological Engineering, working with Professors Iain Todd Kathy Christofidou, and will draw on Sheffield's metallurgical processing and characterisation infrastructure, including
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the supervision of PI or postdoctoral fellow, will carry out various in vitro and in vivo experiments. Collect and process patient derived material for downstream analysis. Cell culture and in vitro experiments
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 21 days ago
into downstream mechanical predictions is an active area of research. Experience in generating, processing, and interpreting these rich experimental datasets is highly relevant to this work. Opportunities exist