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Field
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network congestion. However, these PEDs substantially increase the complexity of protection of LV networks, with major issues of voltage/current waveform distortion and reduced fault level necessitating
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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic
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individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service
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volunteers and analysing complex hormonal and physiological datasets. You will work with collaborators across the training network including a secondment to a specialist primary aldosteronism centre in Munich
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e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs Further information on the project is available at: https://www.fz-juelich.de
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | 8 days ago
Chromatin Structural Biology laboratory to investigate how dynamic protein–protein interactions control transcription elongation in chromatin. Transcription by RNA polymerase II relies on a dense network of
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Network project funded by the Marie Skłodowska-Curie Actions (MSCA) programme. The project brings together leading academic and industrial partners from eight European countries (Germany, France, United
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building