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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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No. 101227010 , at DTU Electro, the Technical University of Denmark, we are seeking a candidate for a PhD position to research novel noise characterization techniques for SiC optical frequency combs targeting
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frequency combs targeting their application in optical communication systems, dual combs spectroscopy and fibre-sensing. The PhD student will participate in an international team, consisting of 15 PhD