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transcriptomics and multi‑omics data. You will also partner with AI experts to integrate predictive models and advanced analytics into omics workflows. You will work in an expanding team led by Dr. Masoomeh
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model predictions with biological knowledge and external data sources. Work closely with academic partner groups and the Innovation & Business (I&B) team to align technical development with biological
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and researchers to gain insight into novel methods used to predict toxicity of various chemicals and gain understanding of how these chemicals impact in vitro, cell-based model systems. Why should I
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systems; Improves prediction accuracy and computational efficiency through fine-resolution data fusion, bias correction, and model surrogate development; and Conducts experiments comparing AI-enhanced
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human interaction, learning, and emotional engagement through multisensory integration and scene understanding. Predictive and Adaptive Systems: leverage multimodal data to predict human intent, improve
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interaction, learning, and emotional engagement through multisensory integration and scene understanding. Predictive and Adaptive Systems: leverage multimodal data to predict human intent, improve action
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at the surface of various materials. Key Responsibilities: Perform quantum mechanical calculations (DFT) for establishing reaction mechanisms and kinetics Develop and apply advanced computational models to predict
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, the work seeks to establish predictive fingerprints of metal-ion mobility and uncover general principles linking structure, bonding, and dynamics. Particular emphasis will be placed on understanding both
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this position, curriculum vitae (including a publication list if available), certificates (certificates should be submitted in English) and contact details of at least two referees through this form https
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modelling, ideally with the use of innovative computational methods (e.g. agent-based and predictive modelling, bioinformatics). Relevance of research to human evolution is required. The position has a