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microenvironment, and which states ultimately suppress or promote tumour development. The PhD project will investigate the molecular and epigenetic mechanisms underlying transitions between preneoplastic cell states
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Title: Optimising resistance training across the lifespan: Balancing mechanical stimulus with physiological, biomechanical, and psychological cost PhD Studentship: R-LINCS2 funded. The Studentship is
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preference, we encourage you to apply. This is what you will do You will investigate interactions among maternal factors, the infant gut microbiota and intestinal health to uncover underlying mechanisms. Using
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
electrolytes remains challenging, as their microstructures must be carefully controlled and optimised to ensure good electrochemical performance, mechanical integrity, and impermeability. This challenge is
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join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
agentic AI systems. The central objective is to understand how sensitive information is collected, transformed, transmitted and potentially exposed throughout an agentic workflow, and to design mechanisms
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
and functional materials while sharing a common scientific philosophy: using computational modelling to uncover the microscopic mechanisms underlying complex phenomena. The positions are embedded in two
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mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties