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approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate the molecular and cellular alterations contributing to neurodegeneration in familial and
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be for 36 months, under the supervision of Dr Rea Antoniou-Kourounioti and Prof Matt Jones. The research associate will develop predictive and testable mathematical models to simulate plant cold
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and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs
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the freshwater budget. It is essential to comprehend the various components of sea level change in order to enhance our capacity to predict and adapt to future sea level changes. It is expected that research
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-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
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estimation of engineered tissue properties developing prediction models of engineered cartilage properties as a function of the mechanical loading regime. The main duty of the Doctoral Researcher (PhD Student
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of the critical barriers to onshore renewable energy acceptance. Our physics-informed machine learning model will provide the first reliable AM prediction capability, addressing a significant industry need. This
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. Develop standardized, technology-adapted licensing models and agreement templates (exclusive/non-exclusive, early- vs late-stage, spin-off vs industry), including IP valuation schemes. Design quantitative
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long-term performance predictions. This PhD project aims to improve process-based understanding of infiltration dynamics in nature-based stormwater solutions by combining field monitoring, experimental
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multimeric complex prediction. You have experience of microbiome sequencing, genome mining, or metagenomic data analysis. You have worked with host-pathogen interaction models, antimicrobial peptides