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Lexington Avenue, NY, NY Categories: Education/Teaching Position Summary: The Katz School of Science and Health at Yeshiva University invites applications for an Adjunct Faculty member to teach PhD
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following fields: • Computational Social Sciences – with expertise in areas such as digital research methods, social network analysis, computational text analysis, AI and society, data visualisation
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applications from candidates of all backgrounds. Website for additional job details https://biomed.au.dk/transcend-network Work Location(s) Number of offers available1Company/InstituteUniversity of Porto (UPORTO
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to develop your own research profile around the project’s themes, publish and present your work at international conferences, develop a professional network within the Dutch and international open science
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Local Health Network (SALHN) Southern Adelaide Local Health Network (SALHN) has clarified it’s priorities in The Strategic Plan 2023-2027 . Our primary goal is to deliver the best possible health
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Statistics and/or Statistical Science. It is anticipated that the successful candidate will have, or be close to obtaining, a PhD in Statistics (or in a related discipline of relevance to the Discovery Project
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PG Levels. You will carry out high quality research, deliver research-led teaching at UG and PG level, and supervise UG/PG dissertations and PhD theses in your area of expertise. You will complement
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communications (ISAC) in distributed multiple-input multiple output (D-MIMO) systems for resilient and efficient intelligent transport systems (ITS) and 6G-integrated non-terrestrial networks (6G-NTN)! Chalmers
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the Children’s University Medical Group (CUMG) clinical practice plan. The Division of Pediatric Cardiology is a diverse team covering every pediatric and congenital cardiac specialty, and has a broad network
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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