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/0009100105.pdf ). Working place: The work will be developed at ABC-Ri, Universidade do Algarve, Ed. 2, 3rd floor Campus de Gambelas, 8005-139 Faro, Portugal, coordinated by Prof. Doutora Ana Luísa De Sousa
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development. The postdoc will be supported and by and network within the lab group of Prof. Peter Manning, the Terrestrial Ecology group of UIB and the SAFER consortium. Qualifications and personal qualities
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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developing expertise in an important topic which will shape the successful adoption of AI and autonomy, and who is keen to build links with industry across a range of sectors, including automotive, healthcare
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. Barron (Biological Sciences), Emer. Prof. Griffiths (Philosophy) and collaborators to develop a unifying framework between evolutionary transitions in individuality (ETIs) and major transitions in
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and
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Jan. 2026, based in the University of Birmingham UK. This position will use further develop the novel AI/machine-learning (ML) approach in Chen et al. (2022 & 2024, Nature Geoscience ) and apply
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first