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of the DataLibra project Approximately 120 zettabytes of data has been collected worldwide but less than 1% is actually used. Structured data, e.g. tables, spreadsheets, and relational databases, is prevailing in
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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non-equilibrium soft matter structures—especially bicontinuous interfacially jammed emulsion gels (bijels). We engineer bijels through the interfacial self-assembly of colloids during liquid-liquid
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community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote an informal atmosphere with a flat organisational structure. access to Lifekeys , a
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multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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explainable algorithms for these tasks, and as such also make contributions to the machine learning domain. Note that the data structure the candidate is expected to work on is mostly tabular data (rather than