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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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be optimized and quantified using tomographic methods, in particular positron emission tomography, with spatial and temporal resolution. Different types of substrates and contamination are being
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators
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approach for OFR, building further on existing methods; (2) quantify the value of OFR in Luxembourg ; (3) quantify the impact of forest disturbances on the OFR supply and value; (4) estimate the supply and
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incorporating time-dependent source depletion. (4) Reducing uncertainty in groundwater risk assessments through refined numerical methods. (5) Applying the improved model to real-world groundwater contamination
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, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover
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experiment; LHCb. 2. Additional Requirements: 1) teaching experience 2) knowledge of issues related to numerical methods 3) willingness to cooperate and travel to research centers, including CERN Geneva 4
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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with a surface. This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use