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research position, starting in January 2027, is available in the ERRMECe laboratory (CY Cergy Paris Université, France) to develop genetically engineered bacteriophages against biofilm-associated
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Description The Energy and Propulsion Laboratory (https://wp.nyu.edu/jryu ) in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Postdoctoral Associate or Associate
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, study visits and external placements, which we anticipate staff will actively use. Staff will also become members of the NIHR academy ( https://www.nihr.ac.uk/career-development/nihr-academy ) : a
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@orise.orau.gov or visit our website at: https://orise.orau.gov/em-stars/ . Qualifications Applicants must meet the following requirements: Be a U.S. citizen at the time of application (proof of citizenship will
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chosen through mutual agreement and within the constraints of available funding. In this context, you might be expected to generate new research ideas and lead development of new research proposals. In
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing
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% of your assignment will be spent on academic research. This includes further developing your existing research portfolio, as well as potentially taking on new research-related assignments. In the short
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live in. The selected candidate will join the group Physics of Active Matter at the University of Luxembourg: https://efodorphysics.github Your role The project aims to develop novel analytical and
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of observed massive close binaries with one or more pulsating components. The aim is to use their measured asteroseismic properties, such as internal rotation and magnetic fields, to develop new modelling tools