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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems
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microbial communities initiate and propagate using early colonizers from dental plaque as a model. The successful candidate will participate in the design, implementation, and evaluation of research studies
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, metallisation, interconnection, characterisation, and related manufacturing processes. Research activities may include process development, device analysis, simulation and modelling, and technoeconomic assessment
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partners. In this role you will: Design, build and flight-test several (scaled) models of the medical delivery drone(s) De-risk the flight controller of the eVTOL aircraft Optimise the full-scale medical
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; • Integration of Genomic Prediction and Crop Growth Models; • Genomic prediction & GWAS optimization; • Publication of scholarly works; • Occasional grant writing; • Occasional graduate student mentoring
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Flexibility to contribute across multiple projects and research applications Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Background Experience in one
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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spectroscopic and physical techniques including single-crystal X-ray crystallography, and their use as supports for one or more magnetic ions and molecules to study the quantum properties on a model surface
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, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
/Description: The Institute is recruiting for a Post-Doctoral Research Associate position who has a strong background in systems-based approaches to modeling risks that involve consideration of hazard (e.g