419 algorithm-development-"Multiple"-"Prof" positions at RMIT University in Australia
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This CSIRO-RMIT co-funded scholarship will address the challenges associated to the development of next generation solid CO2 adsorbent technologies that offer lower cost capture. The purpose
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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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department in data reporting and developing new features of our current platforms Direct report: Senior Specialist, Data & Digital Platforms Key Accountabilities Support Careers, Alumni & Industry Relations
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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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control: algorithm development for decision-making under constraints. Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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control: algorithm development for decision-making under constraints. Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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required to develop. The technology and evaluation will combine techno-economic and life-cycle assessment models based on process engineering principles, solar and wind energy systems and instrumentation
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program management activities, information management, events and process improvement activities. To be successful in this position, you will have: Highly developed interpersonal skills and proven ability
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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