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genes reshapes the heart—and translate that knowledge into targeted therapies? As a PhD candidate, you will investigate how TTN truncating variants drive inherited heart disease, using advanced human
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skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A certain affinity towards turning complex concepts into real-world practice is desired. The successful candidate is
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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
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. Who is it for? Applicants must be PhD candidates or researchers who obtained their PhD no more than four years previously. The KNAW values sustainability and promotes sustainable travel. We strongly
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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of the following: Experience with Explainable AI. Experience with Deep Learning. An interdisciplinary background / interdisciplinary training. Have followed courses in Psychology or Philosophy
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interested in publishing impactful work at venues like SIGIR, NeurIPS, ACL, or FAccT? The IRLab is looking for an ambitious PhD candidate for responsible advice-giving systems that helps answer these questions