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. Your main tools will be data from our Library Management System (LMS), using both the reporting module and REST API to generate datasets. Additionally, you will explore the possibilities of the recently
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choice models, integrating data from sources such as sensors, surveys, Google Street View imagery, and microdata (e.g. CBS Lifestyle Monitor, ODIN); use computational and AI-based modelling approaches
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. Experience with APIs (ideally RESTful, using Django/DRF). Some background in databases (PostgreSQL or similar). Familiarity with frontend development (React/Next.js is a plus). Understanding of caching
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not suit WUR. Links & automation: You know (or learn) APIs and think along about smart, secure solutions. In short: you make sure everything works and stays safe. Of course, you don't have to do
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York, the Department of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. Your teaching Teaching will be a small but valuable part of
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statement (max. 3 pages) describing your research so far and your research plan for the postdoc; A full CV, including a list of publications and a link to your Google Scholar page; The names and e-mail
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publication list or Google Scholar link. Motivational Letter (maximum 1 page) describing your interest and experience relevant to digital ASIC design. Transcripts of BSc and MSc studies (course lists and grades
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, and the XLA and JAX teams at Google. Your teaching Teaching will be a small but valuable part of your role within the Department of Information and Computing Sciences. Depending on your interests and