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) project, an interdisciplinary and multi-institutional collaboration focused on disturbance-driven ecosystem transitions and their impacts across the U.S. Gulf Coast. EGRET employs an integrated model
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quantification of radioactive complexes. As a member of our research team, you will take a leading role in the design, synthesis, characterization, and evaluation of novel chelation platforms for medically
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of projects related to electrochemical analysis, surface specific spectroscopy, and battery materials for vehicle and aircrafts. Applicants are expected to perform experiments to direct and control
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
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-on experience in catalytic reactor design and performing experiments with data reduction are needed. Experience in handling different types of hydrogen isotopic samples and irradiated samples are also desirable
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frameworks, sampler configuration and performance, convergence diagnostics, and posterior predictive checking. Contribute to the design, implementation, testing, and documentation of open-source scientific
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
technical reports, peer-reviewed publications, presentations, and project deliverables for sponsors and stakeholders. Collaborate with multidisciplinary teams and engage with researchers, engineers, and
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the adoption by project sponsors. You will also be involved in proposal writing with our scientists while taking the lead in publishing high impact papers. Major Duties/Responsibilities: Work within a
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computational chemistry. The candidate will be expected to fruitfully work with MCG chemists and physicists as well as make connections across the laboratory. Major Duties/Responsibilities: Design and execute
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: Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing. I/O and storage performance