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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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Research (NIOZ), TU Delft, TU Eindhoven, Naturalis, University of Amsterdam and multiple others. Further project partners involve a broad range of stakeholders in the North Sea area, including NGO’s, Dutch
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generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods and biological readouts have been conducted to decipher the molecular makeup and phenotypes
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Full-time / part-time full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Flexible, but usually in spring or autumn Application
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multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme in Educational Sciences is dedicated individuals
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
of renewable energy infrastructure, including, but not limited to: Design and development of an adaptable and scalable Cyber-physical system comprising interconnected multiple mobile robotic platforms. Identify
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into practical performance solutions. The “Travel, sleep and fatigue optimal management for long-haul performance” PhD programme will focus on mitigating circadian and travel fatigue challenges associated with