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candidate will bring their own creative ideas to the problem being addressed. The postdoc will use the following methods: Anaerobic and aerobic cultivation of bacteria with monitoring of oxygen, iron, and
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programming and ease with formal thinking are prerequisites. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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to guide system-level sustainability and industrial translation. Disseminate research findings through high-impact publications and presentations at international conferences. Qualifications: As a formal
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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, particle stabilizing and templating agent all-in-one, sometimes even as the reaction partner. This kind of nanomaterial synthesis is faster, safer, and more energy- and atom-efficient than comparable methods
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on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
The candidate will be part of the MUNI-RISK and MMinE-SwEEPER consortia that will advance scientific understanding on risks of munition in the marine environment and develop methods for risk prioritizing and
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optimal alternatives that may be relevant for the decision maker. You will be responsible for developing new, fast solution methods for stochastic optimization problem that can find many near-optimal