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First Stage Researcher (R1) Application Deadline 15 Apr 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU
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Direct link to the project: https://cordis.europa.eu/project/id/101227124 About You Essential criteria Upper second-class bachelor’s degree (or higher) in psychology, neuroscience, biomedical sciences
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for doctoral programmes: any time Application deadline The annual call usually opens in September. https://www.dashh.org/application/index_eng.html Interim applications are possible under certain conditions
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Degree PhD or Dr rer nat Course location Göttingen Teaching language English Languages The PhD thesis can be written in English or German (with English being the standard). Full-time / part-time
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via the application webpage before the deadline will be considered eligible. Guidelines for applicants: https://phdpositionswetsus.eu/guide-for-applicants/ Where to apply Website https
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have completed a doctoral dissertation in any other field. Place of work: Uppsala Forms for funding or employment: Employment 4 years. Scope: 100% Starting date: According to agreement. Application
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completing the online application form. Applications that are not submitted electronically through Jobbnorge by the deadline will not be considered. Application Deadline: April 17, 2026 Your CV must be entered
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 12 hours ago
. For further information about the graduate school, please visit: https://www.imprs-pks.mpg.de/ Course organisation The thesis work, which must be completed in about three years, will be complemented by a
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notified, and so on. Any questions regarding the application may be clarified by Pedro Reis (pedro.reis@iniav.pt ). 14. Application form and submission of applications: All the previous documents should be
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid