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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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candidate will have (or be soon completing) a doctoral degree in biomedical engineering, chemical engineering, pharmaceutics, or a related field. The candidate must be highly motivated with evidence of
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materials derived from biomass, mainly plant-based. He or she will collaborate with numerous researchers and engineers within the laboratory who are specialists and managers of various polymer
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and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our
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This project focuses on reducing aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge self-noise, commonly encountered in aero-engines, wind turbines
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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high
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are an engaging and diverse academic community. Qualifications: Ph.D. in Chemical Engineering, Biochemical Engineering, or a closely related field. Strong background in materials science, polymer chemistry, and/or
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The Institute of Science and Technology Austria (ISTA) is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for our PhD program. We offer fully funded PhD positions
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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AI-focused academic courses for master’s and engineering programs and continuing education in AI. The 3IA Côte d'Azur Institute aims for research excellence in the fundamental fields of AI, and in