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Are you excited to co-develop a next-generation optical wireless communication system, enhanced by advanced detectors? Can you bridge the fields of electronic and photonic integration to make
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distribution (QKD), where you will adapt both the codes and their decoders to the specific security and performance requirements of QKD protocols. Beyond QKD, you are encouraged to explore open problems in
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unrealistic, and can therefore result in inadequate models. This project proposes a generalized framework for extremal structural causal models on arbitrary directed acyclic graphs. Our new models will be able
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and trace elements distribute between molten steel, slag, and vapor under next-generation steelmaking conditions. The research will focus on experimentally determining equilibrium partitioning behavior
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provinces will create landscapes that sustainably maintain healthy wild pollinator populations and communities. To provide a sound scientific basis for this, you will use species distribution modelling
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spectrometry; combine imaging datasets with multi-omics, digital pathology and AI-assisted image analysis to generate integrated biological insights; analyze the spatial distribution of ADCs, antibodies and
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even makes room for good conversations over high-quality tea. Job description As a PhD candidate, you will contribute to cutting-edge research on next-generation wireless communication and sensing
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of photonic technologies into future wireless infrastructures. You will investigate how photonic integrated circuits can enable scalable and energy-efficient signal generation, beamforming, distribution, and
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generalized framework for extremal structural causal models on arbitrary directed acyclic graphs. Our new models will be able to incorporate non-standard extreme directions, which permits the modeling
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analyses of adaptation effectiveness, avoided economic losses and damages, and distributional impacts across society. By applying household survey data from different European cases, we can advance the