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Title: Chief Editor, Nature Mechanical Engineering Location(s): New York or Shanghai – Hybrid Working Model Deadline: October 5, 2025 About Springer Nature Springer Nature is one of the leading
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for a PhD/Postdoc position within the Control Systems Technology section at the Department of Mechanical Engineering. This project focuses on developing model predictive control (MPC) algorithms
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contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. - A PhD training programme is part of the agreement
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 3 days ago
a powerful bridge between biology and engineering. The PhD offers training in computational neuroscience, neural circuit modeling, and AI/robotics, as well as strong interdisciplinary exposure through
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experimental design and data analysis. Prepare professional-level documentation, research reports, and manuscripts for publication. Required Qualifications* PhD in materials science, mechanical engineering, or a
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. This Collaborative Award is investigating the evolutionary mechanisms of resistance to ciprofloxacin during treatment for chronic lung infections caused by Pseudomonas aeruginosa. The overarching goal of the project
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the 36 months immediately before their date of recruitment. Must fulfil the conditions for enrolment to PhD programme at the host institution. For details about the criteria, please refer to detailed
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discovery and computational tools. The successful applicant will lead a research project and will have the opportunity to mentor students. Candidates must hold a PhD or anticipate completion of a PhD prior to
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program focused on uncovering fundamental mechanisms and therapeutic vulnerabilities of cancer metastasis using the most sophisticated experimental or computational approaches. MET-X is a dynamic research
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for augmented/virtual reality (AR/VR) applications as well as for autonomous mobile robots (AMRs) operating in real-world, dynamic settings. Master’s degree in Robotics, Mechatronics, Computer Science, Mechanical