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platform of analogue hardware accelerators, so-called Ising machines, that efficiently speed up these computationally difficult tasks in a way unlike any current digital computer. These Ising machines are a
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of 18 excellent Doctoral Candidates (DCs) by addressing the fundamental challenges of Embedded AI and accelerating the development of Embedded AI systems and applications through an innovative and
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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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About the Groundwork project: Soils are the foundation of our health & wealth, with 95% of food coming from this belowground ecosystem. Yet, 60-70% of soils in the EU are degraded, a situation
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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clean-up technology. In the framework of the ROPSAM project (Potential of contaminant degradation by specific (clusters of) microbiota), we are looking for a motivated PhD candidate in the field
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commonly caused by mutations in the ABCC6 gene. This results in progressive skin lesions, retinal bleeding leading to blindness and accelerated atherosclerosis with a high cardiovascular risk. Currently, the