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acquired experimental data. These calculations, complemented with chemoinformatic studies, will be used to subsequently develop machine learning algorithms to predict these properties and ultimately estimate
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. Currently, patient selection is insufficiently accuracy, our preliminary modelling work suggest that biomechanics modelling can improve this. You will work with clinicians across Europe to test your algorithm
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practice while supporting complex tasks such as image and video enhancement, layered editing, and object-level content manipulation. The candidate will contribute to 1) algorithmic development, including
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Wearables & Healthcare Systems Theme 3 Algorithms for Privacy, Security and Provenance Theme 4 Clinical Innovation & Translation Connected medical devices are increasingly employed in the drive towards
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Wearables & Healthcare Systems Theme 3 Algorithms for Privacy, Security and Provenance Theme 4 Clinical Innovation & Translation Connected medical devices are increasingly employed in the drive towards
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clinicians across Europe to test your algorithm. You will be responsible for liaising with internal and external collaborators on data collation, perform model development and testing, and collecting feedback
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. Strong computational and programming skills, including experience with numerical methods and algorithm development. What we can offer you: The opportunity to continue your career at a world-leading
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massive substrate profile datasets in high throughput; application of in-house machine learning algorithms to identify optimal linker activity and selectivity; synthesis and characterisation of linker
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quantum computing hardware. Theoretical Computer Science, including algorithms and data structures, complexity theory, cryptography and information theory, quantum algorithms, and theory of quantum