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Field
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responsibilities will include: Lead Field Research: Plan and execute field-based surveys to assess natural capital values, including forest structure, composition, and fauna diversity. Analyse and Report: Process
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(negative stain & cryo-EM). High-resolution data collection and image processing. Candidates will have hands-on experience in these areas and a passion for molecular biology and imaging. About you The
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Medicine without Doctors can be found here . This post might require Level 2 Disclosure as the project progresses but the candidate will receive support processing it if required. Your skills and attributes
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at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process
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understanding of the research process Desirable Application/Interview Experience of project coordination and supervision of other team members Desirable Application/Interview Ability to assess and organise
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jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please
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support the process of sha red learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both
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the 'Apply' button above. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk
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. The role is integral to an EPSRC-funded project titled "ProSensing: Low-Power, High-Speed, Adaptable Processing-In-Sensing Capability" while working closely with Defence and Security Stakeholders. As a
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Preparing progress reports and updates for funders and stakeholders. Contributing to the design of questionnaires and respondent materials, and ensuring quality control throughout the survey process