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Field
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builds on the existing research portfolio through the acquisition of research and third-stream income and the publication of scientific papers in peer reviewed journals. The Senior Research Fellow will act
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artificial intelligence (AI) has shown great promise in helping us identify patterns, make predictions, and drive innovation in manufacturing, understanding how some AI models make their predictions
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will have a PhD, or be close to completing one, in a relevant discipline such as pharmacology, molecular biology, neuroscience, biochemistry, physiology or evolutionary biology. You will have experience
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
in refereed journals, presenting their work at seminars and conferences, and collaborating with other researchers. The successful applicants will hold a relevant PhD (or awarding of a PhD within six
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 14 days ago
to advance the technology towards commercialisation. About you We are seeking candidates with a PhD or relevant research experience in photovoltaics, perovskite solar cells, semiconductor devices, materials
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discovery timelines from months to days while building reproducible, open workflows for the broader materials and AI research communities. For the postdoctoral fellowship, we seek candidates with a PhD in
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Somabotics: Creatively Embodying Artificial Intelligence, an EPSRC Turing AI World-Leading Researcher Fellowship led by Professor Steve Benford. Somabotics explores how people "make meaning" through art and
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Institute focused on materials science. AI-MI's mission is to shift materials discovery from serendipitous to intentional design, reducing discovery timelines from months to days while building reproducible
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offers excellent opportunities to develop your research profile and work towards research independence, build collaborative networks, contribute to knowledge exchange and policy engagement, and support the
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Required Qualifications: PhD degree in Earth, Environmental or Agricultural Sciences or a related field Proven experience in wind or water erosion field research (e.g., MSc/PhD project) Experience in using