293 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
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Field
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ecology that challenges Western narratives and explores alternative ways of thinking and living with weeds by learning from traditional knowledges in their places of origin; a multispecies geography that
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supportive culture that fosters knowledge exchange, learning, creativity and scientific excellence. The PI, the group, the Department and university-wide initiatives (e.g., the Durham Centre for Academic
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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) Limited until: 30.04.2032 Reference no.: 5022 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate
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of society they came, b) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will
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the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will create a four-part database, corresponding
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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and
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carrying out collaborative projects with colleagues in partner institutions, and research groups. The post-holder will have the opportunity to teach. Applicants should hold, or be close to the completion
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graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for