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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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the Job related to staff position within a Research Infrastructure? No Offer Description Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD
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research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes. Applied experience in using statistical and mathematical tools to analyse and interpret soil
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students. SPS is responsible for the research training of over 120 PhD students. SPS is research intensive with internationally recognized expertise in Human Factors, Mathematical Psychology, Industrial and
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method
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for this position, please apply online and attach your resume and a separate cover letter that outlines how you meet the selection criteria below Selection Criteria A PhD in Physics, Astrophysics, or Mathematical
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD experience 17% Superannuation and Flexible Working Arrangements Based at the RMIT