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these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks
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the complex demands and challenges within the climate solutions landscape. Now, we're seeking a passionate, engaged program manager to join our small, diverse, and ambitious Startup Coach team. We're
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for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive
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driving a large, integrated research and innovation programme in a unique collaborative network of university and the offshore energy industry? Do you have solid industrial experience and a strong track
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doctoral training Program, GLYCO-N, funded by the EU (MSCA Doctoral Network). The PhD project is thus part of a bigger interdisciplinary research effort that aims to 1) Understand the diversity and
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at the forefront of tackling global sustainability challenges through significant investments in engineering megaprojects, from transportation networks, offshore wind and the energy islands to the development
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strategic project in collaboration with the Centre for Cyber Security (CFCS) , the Denmark’s IT security authority, Network Security Service and National Centre of Excellence within cyber security
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their organizations, through equipping them with the skills to navigate the complexities around sustainability, as well as the tools to design, execute, and lead others in implementing sustainability solutions. The MSL
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), designed to accelerate large scale simulations using Graph Neural Networks informed by simulation logs. It's part of a collaborative effort to create a model for optimal policy discovery in complex climate
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complex fisheries data to estimate their influence on non-target species. The work will involve simulating complex socioecological systems to understand how management interventions may be successful