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: Position Type: Tenured/Tenure-track faculty Position Location: Beirut, Beirut 11072020, Lebanon Subject Area: Computer Science / Artificial Intelligence Appl Deadline: 2026/03/01 04:59 AM UnitedKingdomTime
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thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
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: Scientific Area: Data Science and Engineering; Electrical and Computer Engineering; Computer Science and Engineering; Artificial Intelligence; Computer Vision; Computer Science; Data Science; or Mathematical
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artistic research. The position will be affiliated with MishMash , a national centre for artificial intelligence funded by the Research Council of Norway, in which the Conservatory of Music is a partner. The
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digital datasets, artificial intelligence and statistical methods to quantify urban environmental metrics (e.g. emissions, air pollution and greenspace) and urban dynamics in unprecedented accuracy and
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capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines
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new national research hub aiming to revolutionise UK manufacturing through Artificial Intelligence (AI) and support the achievement of Net Zero by 2050. The Co-AIMS (Collaborative AI for Manufacturing
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of the administrative functional areas, oversight of the development, implementation, and maintenance of documentation of procedures for ERP (Banner) and its related applications, CRM, Data Management, Artificial
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-selection is carried out by the responsible recruiters and not by artificial intelligence. Preferred start date: July 2026 or as soon as possible. About ETH ZürichETH Zurich is one of the world’s leading
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Clinical Artificial Intelligence, Craniofacial Regeneration, Microbiome Innovation, Oral Cancer, and Population Oral Health. The Faculty also plays an important role in public and professional education