107 data-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" positions at Imperial College London
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role in a major research project, as directed by Mr Piers Boshier and other academic supervisors. The research project will entail project design, experimental work in addition to data analysis and
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, you will handle sensitive information in line with data protection legislation and Imperial policies, while delivering a courteous, flexible, and customer-focused service in line with Imperial’s Values
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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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Bachelor’s degree (or equivalent) in a science‑related or healthcare discipline Previous experience collecting and processing samples in a pulmonary research setting Experience in clinical trial data entry
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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an online application. Further information about the post is available in the job description. Closing date: Midnight Sunday 10th May 2026 Interviews W/C 8th June 2026. Attached documents are available under
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transition. You will work closely with faculty, departmental teams and central professional services colleagues to coordinate processes, manage information, and support a range of operational tasks. Your work
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several conflicting deadlines at once. Strong experience of office administration, managing budgetary information, forecasting and coordinating events. Excellent interpersonal and written communication
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and the ability to prioritise, plan, and deliver multiple projects concurrently. Effective written and verbal communication skills, with the ability to communicate technical and safety information
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across varied property assets; Clear ability to analyse and evaluate often complex data to identify risks and make well considered, pragmatic decisions that demonstrate reliable legal judgement; Excellent