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on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards
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, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a compelling opportunity. Current practices, such as combusting methane to sustain
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/e for tactile sensor electronics. Contribute to the development of numerical models to simulate soft, large-area robotic skin with embedded tactile sensors, with assistance from the Computer Science
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theoretical and practical limitations. Their results are often plagued by false positives (reporting problems that are not real) and false negatives (missing real issues). This PhD project aims to improve
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) Curriculum vitae Copy of university BA and MA grades (transcript) One sample of written work (master thesis, published article, or course paper) Names and contact details of one referee The deadline
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on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards
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-efficiency converters based on SiC/GaN wide-bandgap devices and resonant topologies to achieve > 98% efficiency. You will design, simulate, and experimentally validate DC-DC and DC-AC converter prototypes
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modelling, data analysis, and hydrogeology? Are you passionate about hydrogeological system
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postdoctoral researchers, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because
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tools for static and dynamic analysis are powerful for detecting vulnerabilities, they suffer from both theoretical and practical limitations. Their results are often plagued by false positives (reporting