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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
best represents your work Proof of English proficiency – more information in this link A copy of your diplomas with a list of course grades Reference letters from two academic referees Please send in
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such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop
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As urban populations grow and energy demands rise, urban-scale energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy
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population projections and management of wild bird populations in times of climate change”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah
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, book chapter or other academic text that you feel best represents your work. A copy of your diplomas with a list of course grades. Please send in your application as two PDF files (one for the MA thesis
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, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities around sorting and recycling
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ensembles. The Incarnato group uses both prokaryotic and eukaryotic cellular models and exploits (or develops where needed) cutting-edge experimental methods (Marinus et al., 2021 [PMID: 33398343]; Incarnato
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, bibliographies, cartography, and remote sensing data, and analysing these in comparison with newly collected field data. Producing databases, reports, drawings, maps, and digital models of landscapes and
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation