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Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording
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model of international partnerships which is responsive to the transnational character of our global challenges. About the Role The CSST invites applications for the post of Research Fellow / Postdoctoral
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integration, low-voltage distribution-network modelling, optimisation-based power flow analysis, and standards development, producing impactful publications, open-source code, and datasets. Supervision and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
opportunity This position is a fixed term appointment for a period of one year (up to 12 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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or more of the following is welcome, but not required: flow cytometry, viral or non-viral gene transfer technologies, AI/ML based modeling, or the execution of in vivo functional genetic screens. Key
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which would need to be agreed by your current line manager. Background This exciting new position is for a post-doctoral Research Fellow to work within a multidisciplinary research team on a novel and
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efficacy and safety in relevant biological models. 4. Mentor research assistants, graduate and undergraduate students. 5. Assist in any other duties delegated by the Principal Investigator and group leaders
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genetically modified mouse models. Experience with spectral flow cytometry is essential. Experience with cell sorting, preparation of tissues for RNAseq and confocal microscopy analysis is highly desirable
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relevant background in information extraction, entity resolution/entity linking, machine learning, uncertainty modelling, explainable AI, or a closely related area, with a PhD (or near completion) in