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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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. Requirements: - At the time of recruitment (i.e. within 8 months of the application deadline), applicants must have been awarded their PhD and preferably have acquired their first postdoctoral experience and/or
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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engineers to scale experimental throughput and accelerate material screening. Contribute to scientific publications and grant reporting in collaboration with the principal investigator. Job Requirements: PhD
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Sciences at the Usher Institute within The University of Edinburgh has an excellent opportunity for a Clinical Research Fellowship to undertake independent research studies and a PhD. The Opportunity: This
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, Science, Architecture, IT, Built Environment Apply for a Deakin Fellowship today! You’ve come this far with a PhD, why stop now? Continue your professional growth and make a mark in your field with a Deakin
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field