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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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analysis software, e.g. SPSS, STATA, R; Demonstrate a track record of Epidemiology/Biostatistics publications; Be capable of working independently and in a team, have an investigative nature, attention
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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and permanent research positions Vibrant research community with opportunities for collaboration and networking Application Requirements You must submit a comprehensive research proposal developed in
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projects forward. Strong planning and time management skills are essential, enabling you to define clear milestones, establish realistic timelines, and ensure timely and efficient project execution. Your
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as posters Deal with problems that may affect the achievement of research objectives and deadlines. This might include working with CRN networks to ensure recruitment target is met Carry out
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other software's packages. Ability to maintain a day-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. To be successful at Level B
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or
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comparable estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact
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supporting country implementation of a suite of tools that have been developed by COP in partnership with WHO’s International Pathogen Surveillance Network – including a WHO costing tool for genomics