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Field
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by developing quantitative methods on transcriptomics datasets from stem cell models
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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assessment. Stress testing & model robustness. Generative imaging models. Please see job description for a full list of requirements. *Candidates who have not yet been officially awarded their PhD will be
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vivo trials with induced (in rodents) and spontaneous (in dogs and cats) animal models of diabetes – 10% b) Collection and processing of biological samples – 5% c) Conducting in vitro tests
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
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), mouse models, fluorescence microscopy (confocal), genomics, epigenetics, cell biology and biochemistry techniques (e.g., RNA/ChIP-seq, mass spectrometry). Successful track record in conducting and driving
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models. This theoretical project will facilitate close collaboration with experimental groups and enable benchmarking of theoretical predictions. The PhD researcher will be part of the Correlated Quantum
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-reviewed journals Hands-on experience with both cell culture systems and mouse models This is a full-time, on-campus position based in the Andrus Gerontology Center. Some travel may be required
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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by using stem cell models and genomic approaches. Preferred qualifications: D. in