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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 22.5 hours per week, normally worked Monday to Friday. Flexible
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at the Department of Architecture (DOA) in the College of Design and Engineering (CDE), NUS, is an initiative that champions socially responsible and civic conscious graduates in DOA and CDE through interdisciplinary
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at the Department of Architecture (DOA) in the College of Design and Engineering (CDE), NUS, is an initiative that champions socially responsible and civic conscious graduates in DOA and CDE through interdisciplinary
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at the Department of Architecture (DOA) in the College of Design and Engineering (CDE), NUS, is an initiative that champions socially responsible and civic conscious graduates in DOA and CDE through interdisciplinary
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 22.5 hours per week, normally
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(or recent graduation from) Bioinformatics, Computer Science, Software Engineering or related Hands-on experience with Unity development Experience with AWS Proven Python skills for pipeline integration
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at the Department of Architecture (DOA) in the College of Design and Engineering (CDE), NUS, is an initiative that champions socially responsible and civic conscious graduates in DOA and CDE through interdisciplinary
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at the Department of Architecture (DOA) in the College of Design and Engineering (CDE), NUS, is an initiative that champions socially responsible and civic conscious graduates in DOA and CDE through interdisciplinary
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of British Columbia-affiliated, nationally recognized, multi-year research program to enable the rapid design, engineering, and production of antibody leads against present and future viral diseases
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., optimization, dynamical systems, graph theory, probabilistic modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks