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do The primary objective of this PhD project is to provide an in-depth understanding of (lethal) violence against women in the Netherlands through a comprehensive analysis of existing and newly
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principles of microbial ecology. The project involves techniques of sequencing and bioinformatic analysis, isolation, cultivation, and characterization of anaerobic microorganisms, as well as mathematical
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to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
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the development of advanced simulation tools and machine learning models, the student will gain expertise in computational modelling, scientific computing, and data analysis, as well as experience with software
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of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception and cognition to mind and neurophilosophy biology to technical solutions Additional support is
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Engineering Research Group) Aim: Develop a mathematical model for analysing reliability and efficiency of medical processes Background Adverse events and preventable failures in healthcare services represent a
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to work on the XENONnT experiment in Fall 2025. About the Group: Our group, led by Dr. Jingqiang Ye, plays a key role in both the hardware development and data analysis of the XENONnT experiment. The group
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-of-the-art experimental facilities in Bristol, including the High Temperature Centre and the Interface Analysis Centre. We are looking for an ambitious and curious student with a strong background in materials
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with possible supported secondment in company during the study. The student should have a strong interest in mathematical science, software development, data driven modelling, structural mechanics and
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, modularisation and platform design. Experience with Digital Advanced Product Modelling using CAD design, simulations, and mathematics. A strong motivation for collaborative projects within academia and industry