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, Full-time (renewable) Position Description The research group of Dr. Xuehong Zhang at Yale University is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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Agricultural Experiment Station , the Florida Cooperative Extension Service , the College of Veterinary Medicine , the Florida Sea Grant program, and encompasses 16 on-campus academic departments and schools
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/instruction tuning methods. * Understanding of Reinforcement Learning (RL) principles, multi-objective optimization, or active learning/Bayesian optimization. * Strong programming capabilities in Python
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mentor and assist undergraduate and/or graduate students May assist in managing research laboratories Other duties as assigned Knowledge, Skills, & Abilities Demonstrated ability to plan and execute
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programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to
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Category 1 (60%) Plan and conduct laboratory experiments with natural microbial assemblages from the Gulf of Maine and with cultured bacteria to assess rates of microbial transformation of plastic leachates
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pain under the mentorship of Dr. Nitya Bakshi, Associate Professor of Pediatrics and Director of the Pediatric SCD Program at Yale University. The research laboratory is focused on the study of chronic
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. The position offers excellent opportunities to lead research projects, publish extensively, develop new methodological expertise, and establish an independent research program within a highly collaborative and
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to scientific and professional audiences. Experience or interest in communicating scientific results to stakeholders and the general public. Department/Program & College Description: The Department of Civil