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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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, stem cell models, and nanotechnology, within a collaborative and innovative research environment. It is an exciting opportunity to be at the forefront of translational cancer research. Key
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and quantitative research methods familiarity with megaproject delivery models or complex infrastructure systems. Work Rights Visa sponsorship is available for this appointment. Pre-employment checks
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manufacturers and the ability to meet milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1