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for one of our information sessions , and to download the application form . The QUARTILES Doctoral Landscape Award (DLA) is a BBSRC and NERC-funded research and training programme designed to equip PhD
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quantitative species detection for in-field use. This innovative approach will miniaturise complex molecular workflows, enabling field-based, real-time species monitoring without the requirement for laboratory
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Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new
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liquid methods, facilitating improved battery lifespan, reliability, and safety during ultra-fast charging and high discharge cycles. However, the multi-scale thermofluid dynamics complexities of boiling
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about the vibrational (phonon) dynamics of a molecule’s interactions with its environment [2]. We will extend this to, e.g., complex molecules, ultimately seeking to identify photonic signatures of non
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about understanding
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essential for identifying ecological tipping points and forecasting climate change impacts in complex marine ecosystems. This project will apply a multi-level approach (molecular, physiology and ecology
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Skills: Research-driven and self-motivated, with a strong passion for energy system related studies. Proficiency in English with strong communication and scientific writing skills. Competency in computer