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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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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
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 to anticipate and manage
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. Develop technologies to recover high-purity materials from complex Li-ion streams and help drive innovations that close the materials loop. Job description Join the Materials Production, Refining and
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mixed method approach is crucial, meaning that both quantitative and qualitative research methods will be used; Leading and collaborating in project teams of varying size and complexity, from small WUR
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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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(e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination choice models, integrating data from sources such as sensors, surveys, Google Street View
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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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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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Join us to advance sustainable battery recycling. Develop technologies to recover high-purity materials from complex Li-ion streams and help drive innovations that close the materials loop. Job
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and measurements, good hands-on problem-solving skills, and the capacity to acquire new skills like plant, disease and insect identification rapidly. Experience and interest in complex data analysis