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Field
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Are you passionate about developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative
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in basic control-flow analysis. Process mining, as it stands today, is primarily based on computational techniques and algorithms to analyze and optimize processes. Methods such as process discovery
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Job related to staff position within a Research Infrastructure? No Offer Description The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4
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reconstruct paleoclimates, ecosystem dynamics and evolutionary processes, and refine the geologic time scale by applying an integrated stratigraphic approach. We are particularly interested in constraining
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or incomplete. Information Your tasks will include: Developing and benchmarking ML/AI algorithms tailored to low-data regimes — e.g. few-shot learning, transfer learning or data-efficient representation learning
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function itself remains intact. So, how do cells achieve this robustness when their underlying molecular networks diversify so dramatically over evolutionary time? Our lab has shown that in budding yeast
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biological proxies, we reconstruct paleoclimates, ecosystem dynamics and evolutionary processes, and refine the geologic time scale by applying an integrated stratigraphic approach. We are particularly
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of hyperbolic deep learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning
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diversify so dramatically over evolutionary time? Our lab has shown that in budding yeast, the polarity network can adapt to the loss of a key protein by losing three additional proteins. These seemingly
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, enabling energy-efficient, quiet, and long-duration monitoring of ecosystems. The research will integrate novel lightweight perception modalities for robust perching in the wild, agile control algorithms