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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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. We are looking for a full-time Research Assistant (with knowledge of research methods and techniques within cardiovascular science, including in vitro assays of cell viability, reactive oxygen species
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To contribute and support research funding bids as required To analyse and communicate complex ideas, concepts and data using appropriate methods and packages To resolve issues and support colleagues in devising
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. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement or programme of work Publications, including blogs, reports, web
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literature reviews, designing studies, and collecting data. They will be able to interact with PhD students and other pre-docs, take one PhD course per term, attend workshops and seminars and be part of
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be treated less favourably than an application submitted in English. Job Description Main function To contribute to research using mainly qualitative methods focusing on public involvement, carrying
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postgraduate qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement
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. About the Role Your role will be to develop novel methodologies for qualitative and quantitative pollinator monitoring using a combination of AI and molecular methods. You will work with multiple academic
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appropriate methods and packages; To resolve issues and support colleagues in devising procedures required to ensure accurate and timely reporting; • To generate research output and contribute