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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Positive tipping points in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult
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has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the website of the Faculty of Technology, Policy and Management. Conditions of
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AI-driven solutions for sustainable, efficient, and collaborative port operations of the future. Job description European seaports must achieve net zero emission by 2050 and 55% emission reduction
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in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University
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. This simple unit is limiting the learning capabilities of recurrent neural network models in tasks characterized by multi-timescale and long-range temporal dependencies. To implement multi-scale adaptation, in
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of mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. However
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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) in the EU training network EXPLORA EXPLORA is a Marie Skłodowska-Curie doctoral network funded by the HORIZON 2020 framework. It will start on 1 February 2026, and within this network we have two
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to design mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient