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assemblages (Perspektywiczna Cave) will be used to check the variability of the isotopic baselines in other ecosystems (mammoth steppe and tundra). We will further use the C-N flux model obtained for the modern
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for radiation protection and develops many of the biokinetic and dosimetric models recommended by the International Commission on Radiological Protection (ICRP) and applied by U.S. federal agencies The successful
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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-supported educational tools, including large language model-based agents, with attention to instructional quality, learner interaction, and responsible use. Experience using Arduino microcontrollers
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models of biological processes, derive appropriate predictions, and design/conduct experiments to test those predictions. Prepare manuscripts and figures for publication. Present work internally at
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modelling to identify environmental predictors of mould growth preparing scientific publications, conference presentations, and project reports for stakeholder audiences supporting ethics applications, data
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spectroscopy (e.g., LIBS), pump-probe experimentation, or filament air lasing. Prior experience with optics modeling. Experience with basic surface morphology characterization technologies (SEM, optical/confocal
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to study and model decision and judgment variability (i.e. noise). The scholar must be ready to conduct research including laboratory studies and simulations, assist in constructing computational cognitive
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to strengthening local disaster risk governance and empowering vulnerable, at-risk, and underserved communities. A key responsibility will be the development of the Preparedness Pathways model through theoretical
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, mammalian cell culture, transfection, gene silencing, lentiviral infection for gene silencing and overexpression, and animal studies using xenograft, syngeneic, and PDOX models assessing the effects of drugs