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contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how disturbances or cyberattacks, such as sensor manipulation
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, and behavioral intervention using both quantitative and qualitative approaches, including field studies and stakeholder participation. More information can be found here https
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to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=10074&rmlang=UK
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, predict, and manage them remains fragmented across disciplines. The Understanding and Predicting Impacts of Climate Extremes under Global Change Doctoral Network (CLIMES DN) (https://www.climes.se/climesdn
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None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Based on a biomedical Master's course of study, the aim of the doctoral course of study
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– Computer Science – Mathematics - Physics MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Biological Sciences – Computer Science – Neurosciences – Mathematics - Physics JOB /OFFER DESCRIPTION The Turing Centre
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University of Technology Eligibility Requirements: Doctoral Candidates (DCs) May not hold a doctoral degree at the date of recruitment May hold any nationality May not hold residence or have any main activity
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Requirements: • Master's degree in physics, • good knowledge of English