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, prevent discrimination and protect the human rights of each individual in line with equality legislation. We encourage applicants to consult our Dignity and Respect Policy and learn more about our EDI
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the human rights of each individual in line with equality legislation. We encourage applicants to consult our Dignity and Respect Policy and learn more about our EDI related initiatives Salary: IUA PD1
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295 E-mail:[email protected] Application Instructions Applications with a motivation letter, detailed academic CV, an overview of experience, copies of university diploma, and/or confirmation
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/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal processing. In line with our Athena SWAN ambitions we especially encourage women to apply
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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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is external) How to Submit Application Materials: For inquiries and submitting the required material please contact: [email protected](link sends e-mail) with the subject Application for a
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
About NYUAD: https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity