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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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) 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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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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systems such as supply chains, transport, energy grids, and water networks. When floods, pandemics, or other disruptions hit, these support systems can fail, creating cascading risks: ambulances can’t reach
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). Build on previous developed models. Your research will provide insights to and receive insights from a network of researchers working on the overall steel-related system change. This PhD position is part
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loads, inclusive markets and technology, complex ownership, and power assets connected via power electronics. New and unsolved phenomena such as swarm behaviour of smart power prosumers (consumers and
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working with dr.Rudy Helmons (dredging, marine minerals) and dr. Austin Kana (design methodology, complex systems), where you will work on the development of an assessment framework to identify Best
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resilience through responsible risk management. Research areas include critical infrastructure protection, systems resilience, crisis governance, uncertainty in complex systems, and the interface between
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Science, Decision Science, Complex Systems Engineering & Management or Industrial Ecology. Ability and motivation to establish own research direction and develop novel approaches for the integration
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systems. A proactive and curious mindset, with the ability to explore complex problems independently and collaboratively. A good command of spoken and written English, as you’ll be working in