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institution serving MA and PhD students in art history, archaeology, and fine art conservation. The teaching load is two courses per semester. The successful candidate will teach graduate seminars and lectures
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How to apply:uom.link/pgr-apply-2425 [uom.link] This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate
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of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts
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, willingness to learn, and good communication skills • Computer literacy (MS Office, data processing, statistical software) • Experience in statistics and data analysis • Driving licence, category B
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, Sofia 1784, Bulgaria [map ] Subject Areas: Computer Science / Computer Vision Artificial Intelligence / Robotics Natural Language Processing Machine Learning / Machine Learning Quantum Computing
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Engineering Work Location Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PhD Required Related Experience N/A Required License
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the development of climate change models of fashion supply chains and the design of computer model laboratory experiments (with students) that will aim to determine what and how participants learn from these models
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 1 day ago
for a Data Scientist or Machine Learning / AI expert (m/f/d) Kennziffer 07/2025 to join the AI and High-Performance Data Analytics division of MPCDF. In this role, you will contribute to a variety of
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 552 Course Title: Deep Learning Course Credits: 4 credits Location: ENGMD 279 Schedule: Monday and Wednesday: 8:35 am
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Overview We have an exciting opportunity for a motivated and enthusiastic individual interested in biodiversity, evolution, neuroscience and machine learning to join the Leverhulme Trust funded