106 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Queensland University of Technology
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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) EU72 Maser of Teaching (Early Childhood). How to apply You must apply directly to the Employing Queensland: Innovative Pathways to teaching (EQuIPT) program . All students accepted into this program
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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students - studying one of the pathway programs offered by our international college, including foundation courses, university diplomas and English language courses. How to apply Complete an application
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biosensors or optics. Should be comfortable being hands-on. Requires experience in circuit design and microcontroller programming. How to apply Apply for this scholarship at the same time you apply
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specifically working with network constructs, network data, and/or mental models. Experience conducting qualitative fieldwork, particularly interviews. How to apply The first step is to email Dr Angela Guerrero
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students - studying one of the pathway programs offered by our international college, including foundation courses, university diplomas and English language courses. How to apply Complete an application
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for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy. The first step is to email Dr Xiuwen Zhou detailing your academic and research background, your motivation to research in
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia