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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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agriculture – and could be the focus of a specific research endeavour – and how they include the role of policy, shareholder primacy, land prices, and risk mitigation. As our postdoc, you are part of the Dutch
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, molecular inorganic chemistry and molecular materials chemistry are embedded in the institute. The research programme is focused on synthesis, catalysis, functional materials, bio-organic chemistry/chemical
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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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employ complex system dynamics and feedback mechanisms to understand how, where and when to intervene. System dynamics highlights which factors and policy (mix) can accelerate behavioural change by
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for protocols, technologies and ground-based facilities. Your tasks will include the following: Supporting the creation of sample curation as a new capability in Europe: Liaise with European and global partners
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environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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Location ESAC, Villanueva de la Cañada, Spain or ESTEC, Noordwijk, Netherlands or STScI, Baltimore, USA. The opportunity ESA's postdoctoral Research Fellowship programme offers early-career
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anthropology, sociology). You are eager to engage with fundamental questions about language and technology. You bring solid technical skills and deep, critical understanding that you wield for thoughtful