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computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology, quantitative biology (phenotyping), computational biosystems analysis
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to advance the resiliency and reliability of beyond-5G/6G networks. The candidate is expected to work on the European project PHRESH (https://itea4.org/index.php/project/phresh.html ) and the Dutch National
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existing models of reliability, performance, and safety. Similarly, in dynamic crowd scenarios, assumptions about orderly movement can break down due to panic or unexpected human behaviour, leading
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Qualifications: Master’s and PhD degree or equivalent in physics, mathematics or related fields Proven research experience e.g. through peer-review publications Excellent written and spoken English skills Ability
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field – a condition possibly also in the field of geography ongoing Ph.D. studies or PhD studies in preparation professional focus on landscape or settlement archaeology – it is a condition experience in
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ongoing Ph.D. studies or application for PhD studies (e.g. at Masaryk University) professional focus on archaeometallurgy or archaeometry – it is a condition experience in the field is not required Language
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includes systems for control, instrumentation and communication in the upper atmosphere and in space. Of particular importance are reliable, radiation resistant low-power electronic systems and
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for Doctoral Training (CDT) PhD Research Project Directly Funded Students Worldwide Dr Kai Zhang Application Deadline: 31 January 2026 Details **This project is at the University of Bristol** This project has
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companies like ASML, VDL, Philips, and Thermo Fisher, where extreme accuracy and reliability are critical for innovation and competitiveness. Core to this field is multi-physical system-level modeling
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into different types of neurons. In this PhD project we will work to further develop these human stem cell-based models as a platform for robust and reliable identification of neurotoxic agents. To achieve