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- Delft University of Technology (TU Delft)
- Leiden University
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); Delft
- Leiden University; 's-Gravenhage
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
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Field
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where essential service providers can assess and strengthen cyber-resilience, your PhD will unite two strands: (i) ethics- and regulation-aware engineering that turns EU frameworks into concrete design
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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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where essential service providers can assess and strengthen cyber-resilience, your PhD will unite two strands: (i) ethics- and regulation-aware engineering that turns EU frameworks into concrete design
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people and businesses think about climate risks, if their choices lead to stranded assets, and how they shape climate adaptation. Job description This 4-year fully funded PhD position is part of the ERC
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! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX-research program is made
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies
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climate resilient policies! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX
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of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies for rapid and
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of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its