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model for designing a personalized benefits package contribution to commuting expenses Employer Vrije Universiteit Amsterdam Department of Computer Science The Department of Computer Science at Vrije
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the selection process. You should also have a solid interest in new technologies and related change processes and a passion for space are required. Previous knowledge of model-based systems
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and professional growth , flexible leave arrangements, and extra vacation days. Through the UU Terms of Employment Options Model, you can tailor your employment package to your needs. In this way, we
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effects. You’ll model electrical and optical inputs and responses for energy-efficient computing as a proof of concept. What sets this opportunity apart: World-class facilities: Conduct your research at
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
from concept to experiment. You will: Develop design strategies for 2D and 3D frequency-gradient metasurfaces. Model and optimize their electromagnetic, spectral, and dispersive response. Explore
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Results (1)Vorticity/entropy interaction as a source of indirect noise. (2) Comparison with classic hydrocarbons configuration. (3) Analytical model for indirect noise due to vorticity/entropy
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sensor network (ITEM), as well as Earth observation imagery. With this framework, you will model environmental processes such as air quality, heat or drought over various land cover types and at multiple
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klasse) en werk je (deels) thuis? Dan krijg je € 2,40 per thuiswerkdag. Zo is alles goed geregeld, waar je ook werkt. Keuze model arbeidsvoorwaarden Met ons flexibele keuzemodel bepaal jij hoe je een
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analyse the present and future water consumption (i.e., the water footprint) of Egypt’s horticulture sector. This includes crop modelling using our in-house ACEA model, designing climate and socio-economic
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data collections that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development