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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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Digital Society Institute.
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, and inline interpretation. The work includes validating algorithms on a lab-scale sorting setup and linking spectroscopic outputs to recyclability scoring and Digital Product Passport data flows. Your
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. ScaleUA involves innovation systems analysis, infrastructure mapping, governance design and investment prioritisation across three strategic sectors: energy, digital technologies and health. The project is
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, digital technologies and health. The project is coordinated by Radboud University and implemented by an international consortium of academic, policy and industry partners from Ukraine and across Europe. As
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, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our
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roles of consumers enabled by digital tools, allowing citizens and energy communities to profit from local renewable sources. The main objectives of the project are: Matching demand and supply of skills