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Assistant Professor - Application of Artificial Intelligence (AI) in pharmaceutical sciences and pharmacy practice As part of a major expansion of its research and academic programs in
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Assistant Professor, Tenure-Track, Bioengineering with Expertise in Artificial Intelligence Baylor University: Office of the Provost: Engineering and Computer Science: ECS Buffer: Electrical and
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: manuela.sander@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Mathematik und Informatik Institut für Mathematik AG Noé Artificial Intelligence for the Sciences Prof. Dr. Frank Noé Arnimallee 14
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Faculty Position in Artificial Intelligence in K-12 Education Open Rank – Tenure Track/Tenure Eligible Appointment Type Tenured/Tenure Track Vacancy ID FAC0005600 Full-time/Part-time Full-Time Permanent
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Reference Number: 1056890 About the Role: Are you passionate about the responsible and impactful use of artificial intelligence? Do you thrive on leading strategic change and delivering
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planning and artificial intelligence in topics related to data centers, zoning, and renewable energy siting Experience with natural language processing (NLP) or large language models (LLMs) applied to text
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their implementation (Pytorch, Tensorflow or similar) Motivation and Initiative The position requires physical presence in Berlin Interest in explainable artificial intelligence (XAI) and/or applied
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science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of aligned experience, with the last 2
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Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years
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/Artificial Intelligence (AI) faculty position that will teach across the MSN program, and lead the School in using AI to improve academic processes and enhance clinical models. Candidates with expertise in