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, Analysis, and Services Program (GRASP) scientists. Learning Objectives: When training with the SSS, under the guidance of a mentor, you will further your understanding of micro- and nanoplastics (MNPs) and
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-AI collaboration. Experience in quantitative and/or qualitative research methods, including surveys, experiments, interviews, or mixed-methods research. Proficiency in statistical and data analysis
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analysis methods • Develop digital decision-support tools for landscape design • Support project coordination and delivery
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interdisciplinary social science research on communication behaviors, including exploring how AI-assisted coding and analysis can reduce research barriers and expand research capacity for scholars. Position
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optics laboratories. 2. Characterisation of completed devices and the documentation of research output including analysis and interpretation of all data, maintaining records and databases, drafting
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structural analysis, material formulation, and mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory
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a team member in collaborative research of very high quality. Use molecular biology, proteome analysis and protein translation assays techniques to execute research. Conduct research (as per the norms
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for cathodic CO2 reduction to organic compounds Conduct electrochemical, and chemical analysis Analysis and presentation of electrochemical data Design and optimisation CO2 electrolyser from lab scale to 100 cm2
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, diverse group Experience working with standard computer software Previous experience working with and caring for rodents Excellent technical skills for bench work including gene expression analysis, immune
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material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways. Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations