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are that glial cells use to modify synaptic function. The overall aim of the project is therefore to obtain insight into the molecules that astrocytes use for interacting with synapses and to tune their function
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Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the...
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interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners.
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. An important focus of our research is how these abiotic-biotic interactions create value for society, following for example the “Building with Nature” paradigm or investigating sustainable sources of marine
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of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners
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to preserving and promoting biodiversity and ecosystem health. Our department brings together aquatic and terrestrial ecologists focusing on plants, animals and microorganisms, and their interactions in a
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deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners. Where to apply Website
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to interactive uncertainty visualisations and dissemination of results tailored to stakeholder needs. Your key responsibilities include: designing and implementing process-informed machine learning and data
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arms performing delicate physical interaction tasks. Your project is partially funded by a Knowledge and Innovation Covenant (KIC) grant from the Dutch Research Council (NWO) entitled “STEADFAST – Swarm
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to interactive uncertainty visualisations and dissemination of results tailored to stakeholder needs. Your key responsibilities include: designing and implementing process-informed machine learning and data