3,095 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions
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pension scheme 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science
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Intelligence Research Group at the Beijing Academy of Quantum Information Sciences (BAQIS), invites applications for Research Professor and Postdoctoral positions. Our group pioneers the deep integration
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. The candidates will lead research projects related to Type Ia Supernova cosmology, with a focus on data from Rubin, 4MOST and Euclid data. Candidates will lead research projects in Type Ia supernova cosmology
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Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging
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tolerability of lead compounds. -Analyze and interpret experimental data and collaborate with medicinal chemistry and computational researchers to guide compound prioritization and optimization. -Prepare
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set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
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apply modern data science tools. Strong organizational skills and a collaborative mindset: the ability to work effectively with international collaborators. Excellent communication skills and the ability
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of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based on data collected in