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assessments, supervision up to defence of doctoral thesis, and experience as the main doctoral supervisor, in light of the subject area’s unique characteristics and traditions. The assessment criteria
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and course development, summative assessments, supervision up to defence of doctoral thesis, and experience as the main doctoral supervisor, in light of the subject area’s unique characteristics and
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of doctoral programmes, such as solid experience of planning, admissions, work with syllabuses and course development, summative assessments, supervision up to defence of doctoral thesis, and experience as the
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the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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and turnover multipliers, and the residual variance all carry their own priors. The project is expected to result in a coherent hierarchy that links portfolio structure, transaction costs, prior beliefs
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political office, is a major democratic problem. To understand its entrenched, structural nature, the YOPOW project will examine how societal norms take root already early in life and give rise to beliefs
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and framing of the research questions, including the defence of the proposal in front of a committee. Field work in the home country (about six months): PhD students go to their countries of origin
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
develops advanced and/or low eco-impact, porous materials for insulation, sorption, and energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property
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. Quantum-assisted training of neuromorphic/AI systems represents a fresh approach for optimizing the neuromorphic structure and more efficient weighting of system synapses compared to classical computing