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Field
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data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide
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analytical readouts, including immunohistochemistry, confocal microscopy, protein and RNA analyses, alongside fluid and tissue-based biomarker measurements to assess target engagement and pathway modulation
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Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely related subject, or be close to
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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and applications to interrogate short-read, long-read, and transcriptome data. There is also the potential to develop and publish novel analytical approaches. This is a unique opportunity to work
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-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift
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non-student applicant, you will need to put N/A or random numbers in the mandatory student information sections. Description of the Group The post holder will join the Supramolecular and Bioinorganic
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skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High analytical ability to analyse and illuminate data
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the validation of the methodology's performance using real data. The ideal candidate blends data analytics and big data management, AI modelling and validation skills, and is comfortable engaging with
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities