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cells, cell culture, immunological techniques, multicolor flow cytometry, scRNA analysis are highly desirable. Qualifications Candidates should have a Ph.D. and/or M.D. The candidate must be a self
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, engineering, mathematical physics, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, statistical physics, dynamics of stochastic processes, analysis
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all elements of the microfluidics technology theme, whilst collaborating on the other two themes (PAT, ML). A success criterion will be the realisation of the three prototypes, achieved in close
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of the following fields: algebra, algebraic geometry, differential geometry, algebraic topology, complex geometry, quantum topology, geometric analysis, operator algebra, number theory, mathematical aspects
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-lab experimentation, ~20% data analysis/interpretation, ~10% writing/mentoring.) PhD in Immunology, Molecular/Cell Biology, Cancer Biology, Developmental Biology, Genetics/Genomics, Biochemistry
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analysis, PTM identification. Application Instructions Candidates must apply in Interfolio and provide the following materials for submission: Cover letter, CV, List of references with contact information
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presentations at national and international meetings. * Mentor graduate students and research staff in experimental design, data analysis, and laboratory techniques. * Engage in collaborative projects across
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molecular cloning and proven knowledge of data analysis and statistics. Excellent oral and written communication skills are also essential.
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specificities of human transcription factors using SELEX and fiber-seq and assessing the activity of random DNA within cells. We then use this experimental data to create AI models to identify regulatory elements
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) or/and computational analysis of large data sets are preferred. Please send your CV and the names of three references to Dr. Tingting Jiang (tingting.jiang@mssm.edu)