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). This fellowship provides substantial opportunities for new PhDs seeking significant experience, mentorship, and networking, as well as close collaboration with the Principal Investigators and considerable
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community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Job Overview
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Chronic Conditions (ADACC) Network. This consortium will consist of multidisciplinary investigators dedicated to developing evidence-based strategies for the use and implementation of biomarkers
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Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in
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Multiple Long-Term Conditions (MLTCs). It has a particular focus on research that is highly relevant to disadvantaged communities who are most impacted by MLTCs. It is led by a multidisciplinary team of
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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and networks Help with training Master and PhD students and other group members who are working on similar areas Supervise student's projects at both undergraduate and postgraduate levels Person
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, the SEO hosts the Wave Energy Research Centre, the ARC Research Hub for Transforming energy Infrastructure through Digital Engineering and Woodside’s FutureLab collaboration network. SEO researchers conduct
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Network of Excellence (GNoE) funded by NHS England. This project is designed to transform the understanding and management of patients with life threatening infectious disease, through the application
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signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless systems on software defined radio