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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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of inaccessibility superimposed on more structural or “formal” accessibility problems in the city. This informal layer is highly diverse, stems from many underlying causes and factors, and highlights a notable
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they form a permanent reality of how we experience our cities. These barriers signify an “informal” layer of inaccessibility superimposed on more structural or “formal” accessibility problems in the city
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of the results to a broader audience of policy makers and society as a whole. Your experience and profile: Formal requirements: Applicants must have, or be close to obtaining, a PhD degree in Actuarial Science