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to work independently, take initiative, and plan and conduct research with attention to detail, scientific rigor, and a structured, systematic approach. High motivation and strong interest in developing
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-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
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align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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to apply your creativity and previous knowledge. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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an international student, you will also receive either: an Australian Government Research Training Program (RTP) fees offset (International) a QUT research degree (HDR) tuition fee scholarship. As the scholarship
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annum 2026 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship
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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge