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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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. This position focuses on the development of innovative microfluidic-based sensors for continuous, in-situ chemical and biochemical analysis. About the Role: The successful candidate will join a dynamic research
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quantitative analysis of 3D datasets. Extract relevant measurements (porosity, defects, internal structure, dimensional measurements). Generate technical reports, figures, and summaries of results. Job
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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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, and other projects according to the position holder's interests. Responsibilities vary for each project but could include data collection, data management, data analysis, and contributing
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-related issues in organizational strategic decision processes. This role integrates behavioral research approaches, field studies, and data analysis to generate high-quality academic research outputs and
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project operations, manage the research team, oversee data collection and analysis pipelines, and contribute to research outputs, under the supervision of the Principal Investigator, and in close
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interpreting MS data with the team. Develop and apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners
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qualitative research in the field of Education (valued); f) Knowledge of qualitative data analysis (e.g., content analysis); g) Experience in conducting research interviews; h) Knowledge of higher education