238 algorithm-phd "INSAIT The Institute for Computer Science" Fellowship positions in Australia
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to the effective supervision of Honours and Higher Degree by Research (e.g., PhD, Masters) students (as appropriate). Demonstrate personal effectiveness in supervision and the management of researcher development
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
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proven academic excellence, such as a PhD or first class Honours (or equivalent) Completion of an undergraduate degree (with Honours) within the past eight years (2017 or after), or Masters degree within
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international conferences. Participate in and/or present at conferences and/or workshops relevant to the project as required. Assist with the supervision of research students (Honours and PhD) in the research
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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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criteria: A track record of proven academic excellence, such as a PhD or first class Honours (or equivalent) Completion of an undergraduate degree (with Honours) within the past eight years (2017 or after
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proven academic excellence, such as a PhD or first class Honours (or equivalent) Completion of an undergraduate degree (with Honours) within the past eight years (2017 or after), or Masters degree within
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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looking for - Selection Criteria: Applicants for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first