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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research institutes
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control. This project aims to characterize the cellular disease mechanisms for SNAREopathies, especially for the most prevalent group (mutations in STXBP1), and to design intervention strategies. Our
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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relevant data for the above described technology development and its feasibility test, the PhD candidate will also design medical research experimental protocol for both healthy control population and target
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for advancing healthcare innovation. By enabling high-throughput synthesis, precise control over nanoparticle properties, and scalable manufacturing, automation accelerates the development of novel nanomedicines
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problems with a multidisciplinary character. Proficient in written and oral English (C1; above IELTS 7 or equivalent) You are able to design and execute your own research You have strong communication skills
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well as observer studies, screening, radiation dosimetry, along with the design and performance of patient trials. Radboudumc Welcome to Radboud university medical center (Radboudumc), where scientific breakthroughs
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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experiment. These materials adapt their computations over time, reducing energy use and improving efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation through a self-learning