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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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Qualifications Undergraduate degree in Engineering or Applied Science.An undergraduate degree in Physics, Chemistry or another relevant discipline would also be suitable. Master s or PhD degree in Engineering
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degree in Physics, Chemistry or another relevant discipline would also be suitable. Master s or PhD degree in Engineering, Physics, Chemistry or other relevant discipline is preferred.A minimum of 5 years
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Qualifications Experience in biomolecular archaeology, biochemistry, analytical chemistry or geochemistry, both at the sample preparation and analyses level; or an equivalent combination of education and
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data platforms and conduct interdisciplinary research at the intersection of data science, machine learning and various fields within the Faculty of Science, such as biology, chemistry and physics
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, or a related field. Work Experience: • PhD in biomedical engineering, sciences/ chemistry/ biochemistry or an MD with at least 2 years of full-time research experience. Required Skills • Possesses
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, fiber engineering, analytical chemistry, chemical engineering, mechanical engineering or related fields, or equivalent experience in industry. 6 years’ related experience in Research Project and Lab