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responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
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Condensed Matter , Theory , topological states Quantum Computing Condensed Matter and Statistical Physics / Dynamical and non-equilibrium phase transitions Quantum Optics / Ultracold Atomic Gases Quantum
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. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may
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; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
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(such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction techniques like tSNE, UMAP, PCA Experience with multicolor flow
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Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information
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Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). You will be responsible for adapting existing mathematical and statistical methods for analysis of high
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. This will involve qualitative data analysis using NVIVO, data cleaning, statistical analysis, and the dissemination of findings through reports and presentations. Main duties: • Work closely with Dr
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. • Collaborate with mathematical modelers and experimentalists in the NIH Center to iteratively refine learned models. Qualifications: • Ph.D. in applied mathematics, computational science, statistics, machine
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. Expertise in at least one of the following subjects is desired: Inverse Problems, Numerical Analysis of PDEs, Bayesian Statistics, MCMC, and experience in high level programming (Python). The postdoc will be