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postembryonic development. We have devised a throughput approach for recording such changes in Drosophila and are evaluating a range of data analysis and modeling for data mining. POSITION DESCRIPTION Flatiron
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large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems
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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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, 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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-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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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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molecular cloning and proven knowledge of data analysis and statistics. Excellent oral and written communication skills are also essential.
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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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; industry-standard ways of working including practical experience of GLP implementation (extending to electronic record-keeping, and auditable processes for data acquisition, analysis and curation). You will
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epidemiologic, clinical, and molecular research domains is desirable. Prior experience in large cohort or clinical trial data analysis is advantageous. Pay Transparency Statement The hiring range is based