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Field
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ecosystems Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep learning for imaging of marine ecosystems available at the Department of Informatics. Starting date as
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(UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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) to join an interdisciplinary research programme addressing challenges associated with the analysis, monitoring, and improvement of complex engineering systems, with applications in energy and infrastructure
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if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. Your research focus will be
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position Department of Physics and
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
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international preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
researchers with a PhD (or awarding of a PhD within six months of appointment) in the field of seismology, computational geophysics, tectonophysics or a related area, and have the ability to articulate and
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systems, and integrative omics data analysis. You will have the autonomy to shape and lead your own research direction within the lab’s overarching vision. What We Are Looking For • PhD in molecular biology
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emergency medicine, computer vision, or data science are highly encouraged to apply. The ideal candidate is self-directed, detail-oriented, and an effective communicator in both written and spoken English