137 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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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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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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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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, please get in touch to learn more. Similar advertised posts can be found below The closing date for applications is 12 noon on 15/04/2026, please upload a CV and supporting statement as part of your online
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touch to learn more. Similar advertised posts can be found below The closing date for applications is 12 noon on 15 April 2026, please upload a CV and supporting statement as part of your online
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inventories, purchasing, grants management, equipment maintenance and lab meeting. Desirable criteria Advanced computer skills, including word-processing, spreadsheets and the Prism software Record
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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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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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learning resources towards delivery at scale. The role suits someone with strong facilitation skills, confidence in making and visual communication, and experience writing up design-led work for academic and
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spectroscopic data; publish and disseminate their results. You will have the opportunity to teach. Applicants should have a PhD (or close to completion) in Astronomy/Astrophysics or a related field and ideally a