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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage. The post-holder will have the opportunity to teach. Please direct enquiries about the role to Professor Pedro
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no.: 4644 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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neuroscience and medicine. However, candidates without prior exposure to cell biology, and specifically platelet biology and haemostasis, are expected to rapidly acquire the necessary domain knowledge and be
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Ellison Institute of Technology, Oxford Limited | Oxford, England | United Kingdom | about 1 hour ago
discipline Strong research background in relevant areas Understanding (or willingness to learn) the path to impact and incorporate user feedback Proven ability to conduct independent research and publish in
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. coding, archiving, data scraping, data visualisation, digital story-telling), they should be open to learning them where relevant to the project. The appointed person will be required to carry out up
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to cell biology, and specifically platelet biology and haemostasis, are expected to rapidly acquire the necessary domain knowledge and be interested in building a career in the field. The postholder will
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climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
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to learning them where relevant to the project. The appointed person will be required to carry out up to two months of fieldwork every year, produce their own and co-authored publications, co-organise