112 post-doc-image-engineering-computer-vision PhD positions at RMIT University in Australia
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scales), chemistry, engineering physics, nanotechnology. Experience or strong interest in modelling, and/or clean energy. Preferable background and/or previous experience or publications in materials
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criteria: Interest in and ability to work in an interdisciplinary setting, including with scientists and/or engineers. Experience in metallo-compound, cancer or immunotherapy research. Current treatments
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applications. This project would suit people from a wide variety of backgrounds, including food technologists, chemistry, food scientists, and chemical and process engineers. In this project you will gain skills
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) score during an Honours degree in mathematics or computer science Preference will be given to onshore students from RMIT University and other top-ranked universities Must have research experience in
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Scholarships are open to domestic or international students. The successful applicant must have already applied for, or have already commenced a PhD research program at RMIT and accept Data61 scholarship
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candidates will be invited to submit a full application for admission to the PhD (Applied Physics) program. To apply, please submit your curriculum vitae and academic transcripts via email to Dr. Jean-Philippe
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This project is supported by a full scholarship within the context of ARC discovery project DP240101215. Candidates with a background in Chemistry, Chemical Engineering and Materials science are
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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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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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significant minor thesis component. Masters and/or 4 years Bachelors with a significant minor thesis component. Please send the following information to Assoc. Professor Jeffrey Chan by email: CV Academic