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, prior interactions, rank differences, and kin relationships). We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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. Your work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g
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). Acceptable first degree: Natural sciences, Environmental sciences, Physics, Chemistry, Mathematics or a similar numerical subject. Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES
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strong numerate background. Prior experience of mathematical or statistical programming is highly desirable. Informal enquiries concerning the project are welcomed by the primary supervisor. Entry
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solve complex problems from theory to decision making, combining several disciplines (e.g. economics and applied sciences). A candidate with strong statistical/mathematical knowledge and experience
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equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Mathematics Statistics Physics Economics
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values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft
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-world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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Science, or related disciplines. You have an aptitude for experimental research and data analysis. Experience with programming and/or mathematical modelling is an advantage. Excellent written and oral