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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In this project, we will develop neural
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are produced, the molecular mechanisms by which they have achieved their improvements will be investigated. These insights will form a key part of the ‘build, test, learn’ cycle to accelerate the development
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neurodevelopmental timing and function. The research will explore: How human-specific genes (SRGAP2C) modulate the trajectory of behavioral maturation Whether accelerated synaptogenesis leads to premature
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neurodevelopmental timing and function. The research will explore: How human-specific genes (SRGAP2C) modulate the trajectory of behavioral maturation Whether accelerated synaptogenesis leads to premature
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-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating
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industry, ultimately accelerating the green energy transition. The candidate will work in close collaboration with the industry partners and do research related to use-cases defined by the TWinYards project
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: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co
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spanning nanomedicine and fundamental science to social science; policy-makers, regulatory bodies; industry, patients and citizens) in order to accelerate and support the development of novel nanomedicines
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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel