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Responsibilities Systematically define user and system requirements, develop system architecture, and conduct feasibility assessments. Design perception and sensor fusion frameworks using cameras, LiDAR, depth
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projects, preferably involving healthcare design, service redesign, business scoping, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation
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health, digital health, clinical workflow optimisation or healthcare innovation solutions. Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes
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. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants
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-time) (two posts) [Appointment period: each for six to twenty-four months] Duties The appointees will assist the project leader in the research project - “Digital ultraviolet lithography system
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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, deployment and impacts, as well as details related to IT governance. The third area, management of digital business, addresses the digitalization of processes and services, the development and utilization
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Underground Use (CISU), a Centre for Research-Driven Innovation (SFI) funded by the Research Council of Norway. CISU is a triple helix collaboration between leading research institutions, industry partners and
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, the candidate must submit a PhD agreement, including a plan for the required doctoral courses and a project description. For more information about the programme, see: http://www.mn.uio.no/english/research/phd
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; preparing biological samples for testing; coordinating and optimizing insect behavioral assays Data Management: maintaining meticulous experimental data records, digital database entry, and basic statistical