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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications
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activities including growing plants in the greenhouse, making pollinator observations, and quantifying floral traits (morphology, volatiles, pollen, nectar). Data analysis skills include knowledge
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research, and to those with research interests in prosecution, pretrial, courts or sentencing and with a knowledge of, or practical experience with Stata, multilevel modeling, decomposition analysis, and/or
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dimensions of AI screening tools for mental health risk; from research design, research ethics submission, data collection, analysis, and outputs About You You will have or to be close to completion of PhD
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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, active learning, Bayesian optimization, agentic AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis
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for: Conducting leading‑edge theoretical research in feedback control and mathematical systems theory Developing new robustness and feedback stability analysis results for nonlinear feedback systems subjected
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implementation of microfluidics. Has intellectual expertise in cancer biology. Preferred: Has experience with metabolic assays. Data Analysis Required: Can conduct sophisticated data analysis using MATLAB and
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, electrophysiology, live-cell microscopy, cryo-electron microscopy (cryo-EM) or cryo-electron tomography (cryo-ET), structural biology, quantitative image analysis, mouse models, or bioenergetics. Our laboratory
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small-scale nitration trials under controlled and safe conditions, analyse the resulting NC with the centre's analysis package and quantify the relationship between feedstock and NC properties. The work