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Field
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main research focus of the Division is understanding and predicting the effects of environmental changes on the distribution and diversity of biota – with a particular emphasis on biological invasions
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will contribute to a scientifically challenging and industrially relevant topic, with the aiming at predictive relations between measurable wafer surface properties and bonding performance for next
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: Work on the project to build a statistical model that predicts stability of a given heteroaromatic silicon-fluoride acceptor to survive in the body Scientific writing Mentoring graduate students
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biological questions. Opportunities to Contribute Conduct research in the area of statistical modeling for single-cell multi-omic data. Perform clustering, differential expression analysis, predictive modeling
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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Intelligence Structure Prediction. Annual Review of Virology, 13. doi: 10.1146/annurev-virology-100424-122154 Ito et al. (2025) A protein language model for exploring viral fitness landscapes. Nature
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, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling. Good knowledge of integrated energy
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. Existing predictive models provide useful but incomplete support because they cannot fully capture the complexity and heterogeneity of archaeological data. This underscores the need for approaches
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including causal inference and prognostic/risk prediction modelling. It will be essential to have evidence of strong data management skills and experience managing large linked administrative datasets using