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28 Mar 2026 Job Information Organisation/Company Università di Pisa - Dipartimento di Informatica Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 11 Apr 2026 - 13:00...
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Machine Learning/AI to Neutron Scattering Location NIST Center for Neutron Research opportunity location
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Position: Online Course Developer – RHIN 110 Clinical Data Science and Machine Learning Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University
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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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] Subject Area: Machine Learning Appl Deadline: none (posted 2025/10/06 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description Department: Zaven and Sonia Akian College of Science and
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14 Mar 2026 Job Information Organisation/Company Politecnico di Milano Research Field Information science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 16 Apr 2026 - 12:00...
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remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging. Recent advances in machine learning approaches provide a powerful
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during surgery or endoscopic exploration. This postdoctoral position aims at developing innovative deep learning algorithms to help histology classification. Both classical histology based on hematoxylin
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning