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accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and integrate these data into the cis
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offshore wind farms are coming online with tighter fatigue designs and more aggressive control strategies, your research will seek to assist decision-making (e.g. during operation, but also during design) to
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chromatin organisation, chromatin accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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collaborative project with other PhD students, postdocs and technical assistants. How to apply How to apply To apply, please send us the following documents, merged into a single PDF file: A one-page cover letter
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was a postdoc researcher at the University of Oxford. In the past years our research group has accumulated critical expertise and laboratory infrastructure to support this PhD. This research will be in
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Automated recognition of synonyms and assignment of correct names using sources such as IPNI, World Flora Online, WoRMS, and FishBase; Integration of these data into DiSSCo and LifeWatch infrastructures
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discuss ideas. An excellent knowledge of the English language is required. You are highly motivated to work in a collaborative project with other PhD students, postdocs and technical assistants. How
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nematode community to N mineralization and N2O emissions in realistic soil conditions. In this project, we will set up unique multitrophic experiments controlling for the presence of specific trophic groups
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards