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of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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to the development of research programmes and methodologies including online and in-person workshops and field work with teachers Ability to routinely communicate complex and conceptual ideas to those with limited
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across work packages. You will be expected to plan and conduct your own analyses using available tools, to adapt existing methodologies and models, and design new models that improve our understanding
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sufficiently well understood, and hence there are no good hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable
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individually, make a real difference. The role The main purpose of the job is to undertake research and support the delivery of the OSMOSIS research programme as required. OSMOSIS is funded by the National
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to uncover new mechanistic and biological insights, as well as innovation and commercialization projects. The PhD project will be centered on developing realistic model membranes in the form of lipid
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Service to complete the study. Description of Duties We are seeking a full-time Research Fellow (RF) to work on a study to support implementation of the ‘Healthy Dads Healthy Kids’ programme in Scottish
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chain, the post holder will operate within a multidisciplinary environment to support project delivery, reporting and wider programme coordination. They will help drive the development of innovative