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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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(ARE). Profile The successful candidate for this PhD position will have a Master’s degree in spatial planning, urban analytics, transport planning, artificial intelligence or a related field, and will have
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial
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ambitious and internationally recognized early-career researcher with a strong track record of scientific excellence to advance methodological innovation in genomics-guided artificial intelligence, aiming
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artificial intelligence. Post-doctoral research experience is preferred. Effective teaching, outreach, or extension experiences. Demonstrated ability to write grant proposals and secure extramural funding
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from a supportive research infrastructure designed to help you realise your academic potential. About you You will hold (or be near completion of) a PhD in mathematics, physics, Earth sciences, or a
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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science. Faculty train students for careers in industry across multiple sectors by applying their extensive real-world experiences as data science leaders and teaching the latest topics in artificial
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Laboratory for Artificial Intelligence. The appointment is expected to begin July 1, 2025. Essential Qualification: PhD or equivalent degree in a relevant discipline. To apply, visit and submit a current CV
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Title: Position Location: Singapore, Singapore 117544, Singapore Subject Areas: Materials Science and Engineering Artificial Intelligence Appl Deadline: none (posted 2025/01/06) Position Description