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Network HORIZON-MSCA-2024-DN-01 on Wind farm control and integration in sector-coupled power systems (WindConnect). This doctoral position is part of WindConnect ("Wind farm control and integration in
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(MSCA) Doctoral Network HORIZON-MSCA-2024-DN-01 on Wind farm control and integration in sector-coupled power systems (WindConnect). This doctoral position is part of WindConnect ("Wind farm control and
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) allowance for accompanying spouses and children possible travel allowance possible attendance of tailored seminars for scientific research and networking during the fellowship and beyond communication
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
written communication skills in English; a commitment to academic integrity and transparency; independent thinking and critical analytical skills; the ability to work independently as well as collaborate in
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communication skills in English and ability to work in interdisciplinary collaboration and in a diverse research environment. The applicant will work in a team of highly motivated PhD candidates and scientists
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
statistical programming in Stata/R/etc.; excellent oral and written communication skills in English; a commitment to academic integrity and transparency; independent thinking and critical analytical skills
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consolidation and for decision-making study of neural networks that enable memory use of state-of-the-art experimental tools such as psychophysics, electrophysiology and optogenetics in rats collaborative
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networks are rewired in response to physiological or pathophysiological stimuli. The project will be conducted jointly with the 'Structural Interactomics Group' led by Prof. Fan Liu (https
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31.12.2026 with possible extension) Prof. Ohler's research group focuses on decoding and designing gene regulatory networks through high-throughput genomics and applied machine learning. The successful