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structure of trees and forests. You will work across multiple ecosystems, including the Amazon rainforest (AmazonFACE experiment in Brazil), the wet tropics of Australia (Queensland Permanent Rainforest Plots
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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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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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typically rely on multiple anchor nodes—often three to four—strategically placed around the perimeter of the coverage area. In contrast, your approach leverages a single infrastructure node equipped with
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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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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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of Electromechanical, Systems and Metal Engineering, we have an open vacancy for a PhD researcher in the mechatronics research group at the campus Kortrijk. The research in our group focuses on modelling, control
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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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qualitative and/or mixed research methods, with strong openness to interdisciplinary approaches. Excellent written and spoken command of English. Dutch proficiency is a plus. The ability to conduct independent
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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