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at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to ensure you receive all emails. Referees You should
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(e.g., Python, Fortran, and task automation in a Linux environment) (25%); ii) scientific output (e.g., published scientific articles, conference proceedings in the field of air quality) (25%); iii
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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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/cold environments is an advantage. Previous experience in automated processing of large data volumes such as Earth observation data is beneficial. It is an advantage if potential previous experience with
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processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
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the fabrication of optical fibre sensors, their characterisation, development of an opto-electronic measurement. The main aim of the proposed work is to develop an automated approach for reliable manufacturing
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twins/HIL will be a bonus • Prior knowledge and experience of AI/ML and automation in power electronics and power system will be useful • Experienced and committed to participating in project
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• Prior knowledge and experience in digital twins/HIL will be a bonus • Prior knowledge and experience of AI/ML and automation in power electronics and power system will be useful • Experienced and
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techniques is highly desirable. Expertise in the handling of human biological samples and translational biomedical research. Possess good programming and automation skills (e.g. C++, MATLAB, Python, LabVIEW
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available. The post is based in London 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