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. The KNAW offers its staff an excellent package of secondary benefits. A package that meets the different needs of employees depending on their stage of life, lifestyle or career ambitions. For example, by
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theories from different social sciences. Synthesizing and extending the knowledge on socio-behavioral factors affecting such long-term (economic) decisions and people’s views on a fair distribution of
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
staff an excellent package of secondary benefits. A package that meets the different needs of employees depending on their stage of life, lifestyle or career ambitions. For example, by working an extra
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species. Carrying out lab experiments to determine how egg development time of each species is affected by temperature and how the response differs between the different species. Combining temperature
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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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image description systems tailored for blind and visually impaired (BVI) readers, addressing the diverse and evolving needs of users with different types and levels of visual and cognitive diversities
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will be doing In adult mammals, including humans, fibrosis is the predominant response to many forms of tissue injury, unlike many lower vertebrates and invertebrates, where complete tissue repair is the
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to agent-based and computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels
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behavioral component as it would be interesting to study how consumers perceive algorithmic discrimination of different kinds and how companies can mitigate negative perceptions. During their PhD
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computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels of risk propagation