72 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"CSIRO"-"https:" "Prof" positions in Australia
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illness (ILI), laboratory and self-testing results, care-seeking, time off normal duties, and vaccination status. FluTracking is the only system in Australia’s National Influenza Surveillance Program
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also not be in receipt of any other scholarship. Essential: English language IELTS level of 7 and above Essential: Successful completion of an Honours or Masters programme with a research component (or
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
Laboratory is offering a unique opportunity for a motivated student to pursue an industry embedded PhD in target tracking and sensor fusion. The project will involve an intensive research programme supported
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balance between sharing and protecting young children’s data best protects their rights and future privacy? Working in the Connected programme of the Curtin node of the ARC Centre of Excellence
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. Eligibility You must: be enrolled in a single or double Bachelor of Property Economics degree have at least one year of full-time study remaining on your study program in 2026 be currently enrolled in or have
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intervention uptake, effects and adherence vary across groups. In the context of this PhD research opportunity, interventions of interest include, but are not limited to: screening programs, vaccination, life
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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must enrol in the PhD program in full-time study mode and meet the relevant milestone requirements for a PhD (e.g., complete their milestone 1 within 6 months of enrolment). Enquiries Prof Leon Straker
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, or related fields. Experience of publications in good quality journals is desirable. The applicants must meet the academic entry requirement for admission into the Doctor of Philosophy program including
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strategies using a meta-heuristic technique (e.g., genetic programming) to generate a large number of candidate solutions, and search for the ones that are optimal with respect to a number of objectives. The