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packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities and academic and industrial secondments. The position is allocated
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 2 months ago
with experience. • Demonstrated research experience in Modelling and Simulation (M&S) and decision support analytics, stakeholder engagement and an active research agenda evidenced by research, supported
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dynamic group investigating mitochondrial genetics and function using Drosophila and human cells (http://themalab.co.uk). The candidate will use genetic and biochemical approaches to study mitochondrial DNA
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We are looking for an experienced researcher whose expertise lies in mechanistic cardiac electrophysiology modelling, to work with Prof. Gary Mirams and Prof. Simon Preston on an externally-funded
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
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synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering
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Researcher at Microsoft Research. Duties will include: Design, execute, and troubleshoot experiments Develop and validate benchmarks for model evaluation Contribute to the development of datasets for model
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Location New Haven, Connecticut Salary $80,000 Deadline October 1, 2026 Website https://wti.yale.edu/initiatives/postdoctoral Description The Wu Tsai Institute (WTI) Postdoctoral Fellowships Program
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detection and Digital Elevation Model (DEM) derivation, as well as experience in mentoring undergraduate and graduate students. Experience in using numerical models, including but not limited to hydrodynamic