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for Agroecological Business Models (f/m/d) Your tasks: Develop and implement an integrated modeling chain combining MODAM and CGE models to assess RCBM strategies at farm and regional levels. Conduct ex-ante impact
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an exceptional opportunity to conduct cutting-edge research at the intersection of machine learning, healthcare, and computational modelling, contributing to real-world clinical impact. What is offered
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governance procedures Maintain accurate, detailed research records in confidential files accessible to team members Conduct independent and collaborative analyses of research data using rapid assessment
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
behavior and provides active personalized learning for improved instant decision making. Key beneficiaries are expected to be construction industry stakeholders, for example, project owners, architects
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for Agroecological Business Models (f/m/d)Your tasks:Develop and implement an integrated modeling chain combining MODAM and CGE models to assess RCBM strategies at farm and regional levels.Conduct ex-ante impact
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quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and
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& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
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performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization
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research and real-world impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on
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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes