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-based and index-based approaches, the sequent-peak algorithm, extreme value analysis, and multivariate copulas. Based on this, you will develop an improved method to map global energy drought risk and
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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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environment of the aQa (applied quantum algorithms) group, which is a team of faculty, postdoctoral researchers, and students across the Leiden Institute of Physics (LION), the Leiden Institute for Advanced
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consumption, create energy labels for algorithm scalability, and guide implementers in choosing more efficient algorithms. Ready to make AI more sustainable? Apply now! The goal of your PhD project is to
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and conducting work in the modelling of EEPS (scene generators, geometry module, spacecraft, payload, forward and retrieval algorithms, level 0 to level 1 algorithms, etc.); initiating and conducting
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and associated algorithm definition/validation, relevant instrument simulators, quick look systems, the call for proposal system and mission planning systems; Monitoring and supporting the ESA SOC-led
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flexible work conditions, the use of algorithmic management to coordinate work, and a lack of labour protections. But these conditions do not affect all platform workers equally: research shows that workers
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with established causal models. Ultimately, you will design algorithms for causality-based analysis and counterfactual recovery of liveness violations. Information and application Are you interested in
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objectives with societal indicators, geophysical algorithm development and related research activities; supporting the implementation of the renewed ESA EO science strategy and the definition of future
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algorithms, and long memory, both from theoretical and applied perspectives. Empirical applications concentrate on macroeconomic, financial and climate data. Your mission The successful applicant (f/m/d) will