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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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emerging technologies in a construction setting. - Experience with human-machine interaction, robotics in construction, or sensor-based real-time monitoring frameworks. - Proficiency in programming languages
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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MATLAB or similar programming languages). A basic knowledges and deep interest in neuroscience are required. Preference will be given to candidates with experience in in vivo neurophysiology and/or
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giant viruses in particular Preferred Qualifications Experience working with cultures of bacteria/algae/viruses Experience with a coding language (preferably Python or R) and working with bioinformatic
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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date with a background in physics, computer science, or a closely related field. A strong background in quantum mechanics and programming skills are necessary. Preferred Qualifications Knowledge
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of appointment with a minimum of one year eligibility remaining. - Strong promise of developing an active research program in an area that can be mentored by the Mathematics Department faculty. Preferred