113 algorithm-development positions at Swinburne University of Technology in Australia
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safe learning environment and provide support and advice to a diverse range of students and clients Demonstrated ability to participate effectively in continuous improvement, and develop high quality
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, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age. We strongly encourage applicants from diverse
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safe learning environment and provide support and advice to a diverse range of students and clients Demonstrated ability to participate effectively in continuous improvement, and develop high quality
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expects to develop an analytical description of electrolyte flows required in various microfluidic applications such as magnetohydrodynamic (MHD) micro-stirring and micro-pumping. About Swinburne University
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. Experience with game engines such as Unity and Unreal, AI-driven animation and video and render farm development and maintenance would be beneficial. The role is full-time but can also be undertaken part-time
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. Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work
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. Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work
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on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability
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opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age. We
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Ltd—a leader in truck trailer manufacturing—will focus on developing AI and Digital Twin technologies to assess welding consistency and quality. The research will contribute to smarter, data-driven