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an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants. The successful applicant
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collaboration with societal stakeholders, ranging from policy actors (ministries, provinces) and intermediaries (e.g. network organizations). Using interviews, workshops and observations, you will uncover how
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. Contribute to Europe’s photonics ecosystem through involvement with PITC, JePPIX, and Chips for Europe initiatives Where to apply Website https://www.academictransfer.com/en/jobs/358372/phd-on-compact-models
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research network called NiteLiDAR. We want to use the results of this research, together with our partners, to create innovative demonstrators for the next generation of LiDARs. In the second step you will
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several critical requirements: first, the geometry and size of the vascular network should be representative of real (tumor) microvasculature, i.e. consisting of 3-dimensional networks of perfusable lumens
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to address the many challenges entrepreneurs find on their path to regeneration. You will closely collaborate with entrepreneurs of the Network Regenerative Practices, hosted by the Centre for Economic
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opportunities for cross-institutional training, knowledge exchange, and international networking. You will become member of the MOMENTUM NextGen Early Career Research Network, which facilitates the integration
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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patient-centred organizations across Europe. Through this collaborative, interdisciplinary network, our researchers will work at the frontier of personalized neuroscience. Where to apply Website https
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models by integrating insights from the cellular, thrombus, and organ levels? Would you like to be part of a prestigious doctoral network working to revolutionise personalized medicine by using cutting