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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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Purdue University, Department of Physics & Astronomy Position ID: Purdue-Department of Physics & Astronomy-POSTDOC [#30326, 38314] Position Title: Position Type: Postdoctoral Position Location: West
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 14 days ago
communication skills with experience in presenting research, writing study protocols, and drafting strategic papers and manuscripts for publication. Actively build and maintain a network of colleagues and
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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will have access to the wider network of the Centre for Microbial Interactions at the University of East Anglia which consists of over 200 researchers studying all Kingdoms of life. Person specification
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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, you will have regular opportunities to present your work in academic meetings. You will also be able to develop your wider networking skills through interactions with Fera Science, as
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, and networking skills. Person specification This interdisciplinary research is best suited for individuals with broad interests in understanding the implications of climate change and an attitude to
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training and networking opportunities. Person Specification: We seek an enthusiastic team player with strong interest in the carbon cycle and climate change, self-motivation and numerical skills. Entry