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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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Postdoctoral Project Research Scientist – Machine Learning, Machine Vision & Data Integration Reporting to: Andrea Serio – Group Leader Contract term: This is a full-time, fixed term (2-year
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Short summary We are seeking a Postdoctoral Project Research Scientist to lead machine learning, machine vision and data integration work across the VISIBLE platform. This is a rare opportunity to
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Responsibilities Soil Functional Type (SFT) Framework Development Compile and harmonize global observational soil databases in support of SFT framework development. Apply (unsupervised) machine learning methods
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Responsibilities Soil Functional Type (SFT) Framework Development Compile and harmonize global observational soil databases in support of SFT framework development. Apply (unsupervised) machine learning methods
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with hallmark PD pathology, using machine-learning approaches to quantify neuroinflammatory and protein pathologies and spatial transcriptomics to characterise their molecular and spatial relationships
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data analysis skills, with proficiency using machine learning methods. You should be willing to learn and apply both bioinformatics and machine learning methods to curate and compare disparate data sets
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will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping, germline variation, and clinical
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implementation and commissioning Knowledge of machine learning or reinforcement learning applied to control systems is a strong asset Experience with accelerator technology, specifically photocathodes is an asset
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, depending on experience. The successful candidate will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping