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mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation. Hold a master's degree in
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years. We will analyse: (macro-level) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social
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data and next level statistics? And does your drive include educating the biosystems engineers of the future? Then we are looking for you! Developments in AI and IoT are changing the world. And not just
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and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness
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optimize the qubit performance by gathering statistics on qubit quality. Moreover, you will largely automate this process. Your conclusions and feedback will enable the design, fabrication, and operation of
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reading knowledge of Dutch, or are willing to acquire it. Experience with DH research and tools, especially bibliometric databases and quantitative (statistical) analyses, will be considered an asset. You
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statistical and/or process-explicit ecological modelling. You have experience with at least one common high-level programming language, such as R, Python, or Matlab. You are not afraid of data processing