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of Twente is looking for a highly motivated and talented PhD candidate to join our team. In this position, you will explore advanced frameworks to make complex interacting programs fault-tolerant and future
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for the “architecture-aware algorithm”, you will: Devise on-device learning rules tailored to dataflow neuromorphic cores. Quantify and mitigate fault modes arising from device noise, variability, radiation, and
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. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used
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results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular
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processes. Typically, a family of catalysts is explored based on a preliminary hypothesis. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive
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. Typically, a family of catalysts is explored based on a preliminary hypothesis. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends
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while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model-free as possible. We
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these different physical processes impacts the caprock integrity, fault leakage, and fluid-rock interactions. The success of large-scale hydrogen storage in porous geological formations depends on both identifying
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, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model