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Field
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will collaborate closely with NSLS-II staff while developing cutting edge sample preparation and data analysis techniques that enable the next generation of the XCFS methodology. In addition
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. Use of animal model systems to study leukemia pathogenesis. Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and
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calculation and statistical data analysis techniques. Strong oral and written communication skills, demonstrated through weekly presentations to sponsors and others, and in preparing reports, proposals, and
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. Neuroimaging Analysis: Programming and prior experience with neuroimaging data analysis is required. Statistical Analysis: Solid foundation in statistical modeling and data analysis is required. Experience with
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
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performs sample preparation and analysis of food materials utilizing advanced analytical techniques, such as GC/MS and LC/MS platforms; generates, evaluates and conducts data interpretation. 20% of job
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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for research funding, including the generation of preliminary data for funding bids by the PI. Supervise students (undergraduate, Masters and PhD students) on research related work and provide guidance to other
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all findings for review and analysis. Team Collaboration: Collaborate closely with multidisciplinary teams, including biomedical engineers, data scientists, and clinicians, to ensure the successful