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Structured doctoral training is generally provided by the GGL graduate centre or graduate schools. The objective is for doctoral students to acquire and deepen their knowledge, broaden their scientific
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
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application. Where to apply Website https://www.academiceurope.com/ads/scientific-project-coordinator-in-part-time-… Requirements Research FieldMedical sciences » OtherEducation LevelMaster Degree or equivalent
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR
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, the faculty of Humanities and the Leibniz University, in particular at the Center for Atlantic and Global Studies (CEAGS) within the framework of the faculty's research focus “Atlantic World” Ability to teach
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 18 hours ago
International PhD peers, staff and supervisors Participation in international conferences Diverse intercultural background of students To find out more about DLGS fellows, see https://dlgs-dresden.de/fellows
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annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply Website https://www.fz-juelich.de/en/careers/jobs/2026D-017 Requirements Additional
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and