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Resilience (WIRe) , a prestigious collaboration between Cranfield University, the University of Sheffield, and Newcastle University. The WIRe programme offers bespoke training that hones both technical and
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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following asset criteria: a) Evidence of project leadership, project management, grants or awards; b) Experience in leading collaborations; c) Experience with advanced computing platforms, systems
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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have access to our suite of professional development programs. a collaborative project, including time spent with the Olivia Newton-John Cancer Research Institute and CSIRO. opportunities to travel
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individualized course program Training in a wide range of skills including research management, communication, networking, presentations, writing of manuscripts etc. Research exchange to collaborating institution
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program
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is from the previous competition, provided here for reference. Eligibility Complete eligibility criteria are available on the CGS D program page . Important Note: Some eligibility requirements for CGS
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will need to contact the project supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select PhD in Mechanical Engineering on the Programme Choice page. You