52 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions at RMIT University in Australia
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This PhD scholarship is for motivated researchers interested in developing advanced catalysts for ammonia synthesis and combustion, contributing to sustainable hydrogen storage and clean energy
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or knock out their cancer. One key goal of these trials is to identify the key functional targets for the immune response and leverage this to initiate development of personalised cancer vaccines. As part of
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We invite applications for a PhD studentship at RMIT university funded by Enzide Technologies. The project aims to develop novel dry particulate protein/enzyme complexes. The project aims to enhance
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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This project will explore the use of integrated photonic chip technology to realise all of the components of an atomic clock on a single chip. It will be conducted within the context of the internationally recognised Integrated Photonics and Applications Centre working with a team of more than...
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for this scholarship you must: Have a first-class Honours degree in Computer Science or equivalent Have strong computational, programming, algorithms, and data analysis skills Provide evidence of adequate oral and
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computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required
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ADM+S invites applications for PhD scholarships from students interested in the following areas: The development and distribution of automated decision-making (ADM) systems The applications
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms