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social care, and investigating the use of reasonable adjustments to reduce healthcare inequalities, and a novel Machine Learning workstream to develop an intervention which may be implemented in routine
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of academic output. Presenting the project internally and externally, and preparing material for such presentations. Profile Mandatory Requirements: You have: Demonstrable experience with machine learning tools
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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the department are a diverse group from different nationalities, backgrounds and fields. We offer very good employment conditions, and administrative and technical support, among other benefits. See more
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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, including soil carbon fractionation and microbial community Experience with process-based modeling, statistical modeling, or machine learning A proven track record of research publications in high-quality
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, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where applicable) how images interact with epigraphic frames and contexts of production and
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of making in ancient Roman visual culture (e.g. depictions of craftsmen at work, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where
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. Your main tasks will be Develop and apply machine learning techniques and statistical analyses, including novel methodology for analysis of complex polygenic traits and prediction tools for precision