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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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, proven expertise in trypanosome genetic manipulation and functional analysis, as evidenced by first name authorship, proven expertise in the generation and analysis of proteomic and RNAseq data, as
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 3 months ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: applying your epidemiological, statistical, data management and data analysis expertise to support public health
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framework, the group provides the IT Service Desk, Incident and Problem Management, Change, Configuration and Release Management, Service Delivery and Data Centre Operations. As part of a service delivery
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project is supported by a British Academy Global Professorship awarded to Sian Halcrow. The aims of the project are Assay a wide range of collections, establishing information on acquisition and origin
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Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in genetic epidemiology
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to prioritise complex caseloads effectively. Knowledge of evaluation methods and analysis and experience producing management information and reports. Educated to degree level with a strong understanding and
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range of field and laboratory approaches and are proficient with advanced environmental data analysis. We welcome candidates with a track record of obtaining research funding and experience working with a
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the ability to interpret structured information whilst planning and prioritising tasks. Be able to work effectively under pressure and have a willingness to learn new processes are also key attributes
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and synthesis of small molecules and/or compound libraries. Experience in analytical techniques, such as NMR, HPLC and LC-MS. Experience in compound data analysis. Experience in lab project supervision