43 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at University of Michigan in United States
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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. Responsibilities* Empirically characterize sand samples through shear testing, CT scanning CAD and 3D print models for sand intrusion Design and perform impact experiments. Collect data using high-speed video
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Apply Now How to Apply Interested individuals should include a cover letter, CV and the names and contact information for 2-3 professional references. Job Summary We are seeking an experienced
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) including training, research strengths, and publications Contact information for three professional references Questions about the position should be directed to Erin Giles at eringile@umich.edu. Job Summary
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of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas and information, not only in the classroom but in the workplace by: Creating a work
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, and highlight overall research interests and plan (no more than 3 pages), (2) a curriculum vitae, (3) the names and contact information of three references. Please submit the materials to Sabrina Olsson
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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information
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. What You'll Do The candidate will join a multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods. We are a medicinal chemistry lab with expertise in
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design and performance according to standard design control and quality system practices. 3. Collate, combine, and present experimental data in a clear and concise manner. Use appropriate statistical