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Working as part of a research team, the successful candidate will develop and design a power converter for EV rapid charging and big renewable hookups. This is an opportunity for the right candidate
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of something groundbreaking! The selected candidate will have an exciting opportunity to contribute to cutting-edge computational research, analyzing large-scale phenotypic and genomic data with real
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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of large-scale computational schemes involving learning algorithms and dynamical systems models; (iii) application and fine-tuning of these tools using single cell data from stem cells, immune cells, and
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new
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of data on invasions, their impacts and their management. The scientist will also analyse data to quantify the costs and benefits of the use of nonnative trees in forestry. They will use these analyses
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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supporting a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute (NIH) through 2025-2030. The post-holder will join early in this new research