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The students will be enrolled in the structured PhD programme of the Medical School, NKUA. About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in
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dynamic technical university in the heart of Lusatia, developing practical, science-based solutions to address major future challenges and global transformation processes The Chair of Building Materials and
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
Job Code: 17/2026 Job Offer from August 18, 2026 A fully funded postdoctoral position is available in the Structural Cell Biology group led by Dr. Katerina Naydenova at the Max Planck Institute
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, Data Protection and Freedom of Information. We are looking for enthusiastic and dynamic individuals to join the team, who have excellent communication and organisational skills, a pro-active mindset
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; developing student leadership structures; managing inventory and equipment; overseeing budgets; and coordinating rehearsals, performances, travel, and other program activities. Additional responsibilities will
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materials applications, structural dynamics, damage tolerance, deployable structures/booms, active structures, hold-down and release devices, electrical motors for space mechanisms, launcher and re-entry
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while improving long-term performance. The project offers a unique opportunity to gain advanced training in rheological and dynamic mechanical analysis, solid-state NMR, and time-resolved structural
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accepted all year round Details Aim: To develop and experimentally evaluate soft robotic implant architectures that can dynamically interact with gastrointestinal tissues while maintaining mechanical
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imaging of dynamic processes, while the companion position focuses on high-throughput imaging of static structural defects . Each postdoc will lead their own independent research direction, with
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, neural differential equations, operator learning, machine learning for dynamical systems, and hybrid mechanistic/data-driven models. · Computational methods for scientific discovery: AI-assisted simulation