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. Ability to work both independently and as part of a multidisciplinary team 6. Willingness to learn new analytical methods within the Machine learning field Desirable criteria 1. Completed PhD with
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, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces
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, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces
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military education courses at the postgraduate level. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces. There are also
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computer programming (python) General machine learning experience (vision, structured data, NLP) Machine learning libraries (SciKit Learn, pytorch,…) Scientific / Medical Writing Ability to work calmly under
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of mentoring junior researchers Experience of pharmaco-epidemiology or drug safety research Experience in AI/machine learning Experience in dermatology research Downloading a copy of our Job Description Full
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independently without direct supervision 8. Proven experience in analysing high-throughput genomic data, particularly WGS and GWAS datasets. Desirable criteria 1. UpToDate knowledge of machine learning
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language computer programming (python) General machine learning experience (vision, structured data, NLP) Machine learning libraries (SciKit Learn, pytorch,…) Scientific / Medical Writing Ability to work
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develop a software to automate data processing, machine learning model selection and optimisation and enable end-users to design and optimise microbial protein solutions with minimal user intervention
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optimized for inference with the architecture and collaborate with project partners involved in the experimental demonstrations of various Machine Learning use cases in the new hardware. You will also have