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. Innovative academic offerings include bachelor’s, master’s, post-master’s, DNP and PhD programs that are preparing nurse leaders of today and tomorrow at campus locations in Newark, New Brunswick, and
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the Electrical Energy Systems group, collaborating closely with PhD students, postdocs, and process and materials partners in a supportive, multidisciplinary team. What you will deliver A quantitative
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with academic partners. Job requirements We are looking for a highly motivated researcher with a strong background in atmospheric measurements and data analysis. You will have: A PhD in atmospheric
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants
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, host genetics, and addiction vulnerability. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles
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) Academic qualifications - PhD in Information and Communication Sciences (or a related discipline) obtained within the last 3 years - Knowledge of: - heritage institutions (museums, libraries, archives
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in