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the field of study, participation in academic cooperation networks, including with Japanese partners, professional research in the field of study and publication of results. The duties and their scope are described in
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: The School of Public Policy and Urban Affairs in the College of Social Sciences and
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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ECRIN national correspondents, national networks of clinical trial units, and its developed tools. CZECRIN is the Czech national infrastructure for clinical research. It is part of the CREATIC Centre
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that connect to Office 365 email, as well as printer connection support. Provides client-level network configuration and troubleshooting for both Windows and Macintosh computers, and escalates network
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discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply
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Network “DyeAnotherWay” is inviting applications for a 36-month full time fixed term position as a Doctoral Candidate (DC). This research project is a collaboration between 17 organisations, including 9
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Infrastructures. Such infrastructures include power and energy systems, water networks, transportation networks, telecommunication networks and emergency management and response. The Center instigates
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche | Italy | about 1 month ago
project aims to develop and train an artificial intelligence–based multiplex network for individualised risk stratification in prostate cancer. By integrating genomic, transcriptomic, clinical, pathological