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imaging of cells and tissues. This position resides in the Quantum Computing and Sensing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate
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projects as a Postdoctoral Associate, to start in Fall 2026/Spring 2027. Candidates with research interests and training background in bioengineering, molecular biology, metabolic engineering, chemical
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. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted at partner
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of values and ethics. Collaborate within a multi-disciplinary research environment consisting of experimentalists, computational scientists, and engineers conducting basic and applied research in support of
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, and provides advice on data analysis and interpretation. Required Education: PhD in Welding Engineering, Materials Engineering or related field Desired Education: PhD in Welding Engineering Required
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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the intersection of engineering, physics, computation, and clinical medicine, with opportunities to participate in device development, optical system design, image and signal analysis, translational studies, and
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Posting Description POSTDOCTORAL ASSOCIATE, CHARTER SCHOOLS, Blueprint Labs, to help lead the Charter School Research Collaborative. Will work closely with Blueprint Labs Directors Parag Pathak and Josh Angrist, and collaborators at other universities. Previous Blueprint Postdoctoral Associates...
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: Engineering | Materials Science and Engineering Performs research on metallurgical phenomena related to welding and additive manufacturing (AM) in advanced alloys and to failure mechanisms in welds and AM
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collaborative research spans pharmaceutical engineering, materials chemistry, EV biology, immunology, protein and genetic engineering, and data science. The current focuses of our group include biohybrid lipid