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PRIMARY DETAIL - Salary Package: $109,272 – $117,108 per annum ((Level A.6–A.8, PhD Awarded Rate), plus 17% employer's superannuation and annual leave loading. - Appointment Type: Full-time, fixed
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
Do you have a passion and vision for developing new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion ? Come and be part
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, think differently, challenge convention and take action. We are passionate about finding solutions to the major problems faced by society and the planet, and we create opportunities for those with
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Do you have a passion and vision for developing new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion ? Come and be
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
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craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental