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About the project Background This project builds upon pilot work conducted by the supervisors, demonstrating the feasibility and acceptability of delivering psychological treatment to school pupils
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“Multi-modal proteomics to understand and overcome niche-related adaptive drug-resistance mechanisms in FLT3-mutated AML“ we are looking for a PhD student. The project is is part of the SFB/CRC 1709
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year. Working at the intersection of water engineering, environmental microbiology, robotics, and lifecycle analysis, you will evaluate autonomous underwater skimming robots that minimise energy use in
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competitive analysis, market landscape overview, and positioning for subsequent fundraising and go-to-market activities. • Lead the acquisition of future funding in close collaboration with the fundraising team
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emerging types of national emergencies and evaluate their spatial and operational implications. This will include an analysis of UK population distributions, terrain, infrastructure access, and airspace
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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Doctoral Researcher (PhD position) in Epidemiological Neurophysiology using Transcranial Magnetic Stimulation Part-time 65% limited for 3 years Klinik & Poliklinik für Neurologie Our goals
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
We are seeking an exceptional candidate for a fully funded PhD studentship investigating the role of sleep and circadian rhythms in elite athletic performance, co-funded by Brighton & Hove Albion
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems