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and conducts research in the fields of nanotechnology, microsystems, materials science and microelectronics. Unique of MESA+ is its multidisciplinary composition. About the organisation The faculty
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positions: We offer two fully-funded 4-years PhD positions, with specific focus on Compositional Learning (PhD position 1) and Self-supervised Learning with priors (PhD position 2). The ReVision team will
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collaborative. Proxy data will amongst others infer the stable isotope composition of foraminifera and mollusc shells, since not much is known about the changes in temperature and isotopic composition
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advance the search for habitable environments beyond Earth. Two postdoc positions will join the team at a later stage. Job requirements Please indicate clearly in your application which of the three PhD
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PCM composites the RecyWax+ project combines multi-physics modelling approaches and physical experimentation of the thermal properties of the PCM composite. Throughout, theory is validated by synthesis
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-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modeling), and a postdoc (on the GeoQA reasoning engine). This position is ideal for someone
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questions and corresponding workflows; collaborate closely with another PhD candidate (question modelling), a postdoc (GeoQA reasoning engine) and a technical assistant; evaluate your framework through user
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a function of variables such as composition, temperature, pressure and oxygen fugacity. The candidate will focus on understanding and quantifying controls on the mobilisation, concentration and
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models based on a gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modeling), and a postdoc (on the GeoQA reasoning
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, and single-asperity scratching. Correlate composition, process, and performance to establish structure-property-function relationships. Collaborate with Canon Production Printing to translate insights