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Field
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will work with researchers who conduct world-leading research on the occurrence and progression of inflammatory diseases such as multiple sclerosis (MS). We are working to integrate large-scale clinical
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replacement therapies. Integration of omics data with all other collected datasets. Contribution to multimodal datasets that support the broader development of digital diagnostic tools in endocrinology
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practitioners and policymakers as they navigate real-world, value-based change through design and research. Job description Society faces multiple, interconnected transitions—such as the energy, circularity, and
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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. BLUEPRINT works across multiple European pilot sites to co-create renovation strategies with diverse stakeholders and develop frameworks, tools, and methodologies for inclusive, sustainable urban
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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the appropriate responses. They must deal with this on the spot. Millions of years of evolution have allowed plants to adapt to almost every climate and has made them to masters perceiving and responding
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approaches will be developed to design molecules from scratch and are expected balance interaction with multiple targets. Specific goals are: Development of a conditional generation approach for the de novo