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collaborative multi-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare
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individuals with suicidality. Completed APA-Accredited internship Basic competency in statistical analysis of clinical data Proficiency with Qualtrics Previous experience conducting diagnostic evaluations (e.g
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datasets (e.g., forest inventory, remote sensing, climate data) across Washington, Oregon, and/or California. Conducting advanced spatial and statistical analyses using methods implemented in R or similar
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computational modeling. · Strong analytical skills, with experience in HPLC, GC-MS, LC-MS, FTIR, and NMR. · Excellent writing ability, with some experience in statistical analysis, process modeling, manuscript
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Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR
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on highly technical projects • Strong computer, statistical, and technical skills Preferred Qualifications • Experience in intervention development, training, or fidelity monitoring preferred
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 24 days ago
A doctoral degree in neuroscience or a related STEM field Prior experience in systems neuroscience using animal models A solid foundation in quantitative data analysis and statistics Programming
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can