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materials whose electronic properties can be tuned via several ways: with an electric field, by twisting one atomic layer against another, or through their magnetic order. Our tools are first-principles
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collaboratively in industry settings. Desirable: Familiarity with imitation learning, hierarchical learning, or sim-to-real transfer. Application Procedure Interested applicants should send an email expressing
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. Supervisor: Professor Megh Mallavarapu Available to: Domestic students PhD Eligibility Criteria Application Procedure Interested applicants should send an email expressing their interest along with scanned
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brief description of your relevant research skills and experience *Contact details for two academic referees Please email your Expression of Interest and supporting documents to: roger.smith
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processing and phase transformation. The candidate will work with experimental datasets from techniques such as electron microscopy, EBSD, X-ray diffraction, X-ray imaging and in situ characterisation
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to grant establishment. Please send the email expressing interest to [email protected] by 5pm on 10 November 2026. Applications Close 10 November 2026Apply Now PhD and Research MastersFind
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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to the date of commencement. Enquiries Faculty of Education Graduate Research Office Email: [email protected] Submit an Expression of Interest (EOI) Scholarship applicants should submit a
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Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that specifically
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You are required to discuss your research proposal with Professor Jo Lindsay, Email: [email protected] before you submit an application. How to Apply Applications shall comprise: A cover letter