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and how these interactions are regulated to control cellular function, with particular relevance to human disease, including amyotrophic lateral sclerosis (ALS). The lab is located at King’s College
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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the neural circuits that control breathing and movement and their plasticity following spinal cord injury and other neurological conditions, using preclinical models. 2. Designs and performs experiments
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demonstrating coherent spin shuttling, shuttling-compatible high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication. Key
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engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning
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dedicated to advancing research in the field of ageing and caregiving. Our mission is to improve the quality of life for older adults through innovative research and community engagement. Applicants for Post
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. Knowledge of protein purification (IMAC, SEC, IEX) and quality control (SDS-PAGE, Western blot, HPLC). Familiarity with structural and biophysical characterization techniques, particularly BLI/SPR. Strong
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and mixed plastic waste, leading to large volumes being incinerated or landfilled. Solvent based recycling offers a promising route to produce high-quality recyclates, but current implementations rely
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equitable access to health apps, including through standardized quality labels displayed in app stores. The position offers the opportunity to conduct research with direct practical relevance, collaborate
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science and research. Excellent command of written and spoken English, German would be an asset. Tools: Genetics, genomics, and other microbial ecology tools. Cultivation, microbial isolation techniques