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Field
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computational tools and algorithms, including emerging AI/ML based approaches, for genome annotation, comparative genomics, and multi-omics analyses, with particular attention to the challenges of complex
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develop numerical models and Machine Learning and AI methodologies, including Physics Informed Neural Networks (PINNs) and Symbolic Regression tools, to predict chemical reactions, impurity evolution along
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data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. The post-holder will lead the design, development, deployment and evaluation
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data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. The post-holder will lead the design, development, deployment and evaluation
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databases and structured and unstructured data mining tools Knowledge of SAS, R, Python, and SQL, or data visualization software Knowledge of open/public/private databases HOW TO APPLY: Applicants should
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product support documentation; 2) monitoring and validating the quality of the products distributed; 3) maintaining the burnt area detection tool. Legislation framework: Research Fellowship Holder Statute
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market mechanisms. The successful candidate will work closely with colleagues across the project to develop analytical methods, algorithms, and visualisation tools that connect IoT monitoring with broader
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interdisciplinary teams. Knowledge of tools and methods relevant to the work plan. Suitability of the candidate’s profile for the proposed work plan. The selection panel reserves the right to request additional
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language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph databases and structured and unstructured data mining tools
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manufacturing and separation technologies into an intensified process flowsheet. Design multi-criteria decision‑support tools capturing cost, carbon, land‑use, circularity and resilience metrics. Quantify and