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of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
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an image. Modern inverse freeform design methods compute surfaces that convert a given source light distribution to a desired target light distribution. These can be used to guide the design process for
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‑secure communication (e.g., advanced QKD networks), distributed quantum computing, quantum‑secure enterprise connectivity and quantum teleportation services across metropolitan or regional distances
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congestion challenges for electricity distribution grids. At the same time, effective planning depends on access to data from multiple stakeholders - including municipalities, distribution system operators
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depend closely on sea ice and under‑ice habitats, while salps thrive in warmer, often ice‑free waters. Warming and sea‑ice loss are already shifting their distributions and increasing spatial overlap, with
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research programme (2026–2030), funded by TKI Deltatechnologie, Nationale‑Nederlanden and contributions from more than 10 partners from academia, the financial sector, engineering consultancies and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about shaping the future of AI
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Deadline 14 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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? The transition to sustainable heating requires close collaboration between municipalities, distribution system operators (DSOs), households and other stakeholders. Effective planning depends on the ability
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transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan grid