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Professor Robert A. Montgomery assessing biodiversity measurement strategies at global critical mineral mine sites. This is an exciting opportunity to contribute to an internationally significant programme
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required. The successful applicants are expected to be stationed at CERN and work with either Professor Masahiro Morii on the commissioning of the ITK tracking detector or with Prof. Melissa Franklin
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will be developed at the Department of Informatics Engineering of the Faculty of Engineering of the University of Porto (FEUP), or Fraunhofer AICOS, under the scientific supervision of Professor Carlos
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Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer
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developing a new bioelectrochemical technology for the selective recovery of lithium from spent lithium-ion batteries. This is an exciting opportunity to contribute to research at the interface
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developing a new bioelectrochemical technology for the selective recovery of lithium from spent lithium-ion batteries. This is an exciting opportunity to contribute to research at the interface
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science, animal behaviour, quantitative ecology, or equivalent. Informal Enquiries: Prof. Robert A. Montgomery | Professor of Conservation Science | T: 44 (0)7971 313426 | E: [email protected]
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models remain computationally expensive to estimate, limiting their application to modern population-scale datasets. Working with Professor Stephane Hess and colleagues within the Choice Modelling Centre
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 17 days ago
demonstrated aptitude in cardiovascular sciences. The successful candidate will join the dynamic Cardiology research group within the Faculty of Medicine, headed by Professor Dana Dawson. This is a 5-year post
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural