40 development-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "CSIC" PhD positions at Utrecht University
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PhD: Reconstructing Zeeland’s historic landscape developments Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 1
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only in the past few centuries. For the work package “Holocene peat deposits as natural archives of landscape developments” we look for a motivated PhD student who investigates these landscape and
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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help define the origins of RNA toxicity in HD - a critical step toward developing therapies. Your job As a PhD candidate in this project, you will design, execute, and analyze single-molecule experiments
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to define glycan features that govern influenza attachment and to develop advanced in vitro receptor models reflecting airway tissues. Your tools: Interdisciplinary receptor analysis: you will work with
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of Sustainable Development at Utrecht University. Where to apply Website https://www.academictransfer.com/en/jobs/363888/phd-spatial-optimization-of-lan… Requirements Specific Requirements We are looking
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& Spatial Planning, Physical Geography, and Sustainable Development. The team of the Department of Physical Geography excels in research and education on BSc, MSc and PhD level. We research processes
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, finance and transportation, while allowing for more government influence than in private firms. The above developments have led to a resurgence of state ownership through nationalization, active
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on individual paths and preferences. The PhD candidate will have the opportunity to develop unique datasets and apply quantitative and mixed-method approaches to address policy-relevant questions
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or vanish over centuries? In this position, you will develop, evaluate, and fine-tune cutting-edge AI methods—LLMs, word embeddings, and clustering—to track how word meanings evolve across multilingual