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essential for transitioning to a carbon-neutral and energy-efficient society. Methane, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a
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by-product of numerous industrial processes such as naphtha cracking, presents a compelling opportunity. Current practices, such as combusting methane to sustain energy-intensive operations
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matter discoverable with future gravitational wave interferometers? Join GRAPPA as a PhD candidate within the ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model
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, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many
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continue reading! Join Us! Our modern society relies upon numerous electronic devices that use encryption to communicate and operate securely. However, even strong cryptography can break when the device
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decision making (Gabriele Paolacci), self-control and consumption (Mirjam Tuk), how technology augments behavior (Shwetha Mariadassou and Anne-Kathrin Klesse), numerical processing (Dan Schley and Christophe
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ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black holes in astrophysical and dark matter environments. Join Us! You will join the GRAPPA centre of excellence
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learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model parameters that have been learned from data. For instance