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Field
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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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, their solution uses mathematical algorithms to identify precise differences in content and data, delivering high-speed performance at scale. The project will explore AI technologies for compare-and-merge
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in developing new computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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relevant research techniques and methodologies Strong publication record commensurate with the applicant’s career stage. Algorithmic and model development skills, and a familiarity with relevant machine
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developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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of research. Experience in method development, either quantum chemistry and/or nonadiabatic dynamics. Interest in extending methods that allow the application of quantum algorithms, using quantum
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. Research experience in relevant research techniques and methodologies 3. Strong publication record commensurate with the applicant’s career stage. 4. Algorithmic and model development skills, and
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foundation in at least one of the following areas: computer vision, computational imaging, computational biomechanics, applied mathematics and statistical modelling, focusing on algorithm design and clinical
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new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised
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for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national level for peer-reviewed