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scholarship holder will contribute to several research activities, including: - Design and implementation of event-based data compression algorithms, including lossy and learning-based approaches. - Development
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algorithms for Robust Relative Biological Optimization, considering uncertainties in the parameters of dose-response models. Finally, the aim is to o assess the potential of fractionation optimisation in
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the racial justice implications of technology and algorithmic decision-making tools in the criminal legal system and other systems that govern people’s lives; challenging the forces that drive racial
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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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will be the efficient implementation of digital baseband processing leveraging algorithm-hardware co-design. More specifically, we will investigate low-complexity algorithms and hardware architectures
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in both instrument and algorithm technologies. The researcher will contribute to the development of the project’s research lines within the macro-themes “Resilience to extremes” and “Sustainable water
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at ISS-La Princesa. - Train laboratories with diagnostic and/or surveillance functions in the analysis of omics data from the research groups of IIS-Princesa. - Deliver cutting-edge algorithmic solutions
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these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed
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, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice-nondiscrimination Minimum Required Qualifications: Master's degree in Artificial
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communication skills, and a keen interest in conducting impactful research. For details on how to apply, please see here: https://www.centre-ub.org/studentships/application-process/ Interviews for this studentship