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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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-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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, 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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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
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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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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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experiments, including developing pipelines for data analysis. They will be an integral part of the team comprised of the PI and PGR students, and will assist with the training and mentoring of the students
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exchange. Analyze imaging data using Imaris and custom software. Conduct single-cell TCR and BCR analysis, and RNA transcriptome profiling of relevant T and B cell subsets. Qualifications - The Ideal