62 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Imperial College London
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subspecialty? This is an exciting role based in the occupational lung disease service at Royal Brompton Hospital. You will help set up the UK Silicosis Registry You will be responsible for clinical data entry
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business and improve society through the power of innovative thinking. This is an outward-facing role, grounded in data and driven by the robust global relationships you will build. You will support the
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College London. For more information on the range of materials and methods explored by his group, please see Dr Salvador Eslava’s list of publications. • Take initiatives in the planning of your research
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with job applications, interviews, and other selection processes. Using Data to Guide Career Development Activities: Collect and analyse data on students’ career needs and outcomes to inform and
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acquired experimental data. These calculations, complemented with chemoinformatic studies, will be used to subsequently develop machine learning algorithms to predict these properties and ultimately estimate
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evidence synthesis, including systematic reviews and meta-analyses, with a strong publication record. The ability to analyse, interpret, and synthesise data from diverse sources. Proven ability to distil
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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group of Dr Andrew Edwards at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and
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team in the group of Dr Andrew Edwards at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence