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instrumentation and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations
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computational pipelines for QTL data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web
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interactive visualization and analysis systems. Strong background in web-based software development. Knowledge of data analytics techniques and tools, including machine learning and data visualization
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. Contribute to software and web development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with
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computational tools (e.g., web technologies, Python libraries, client/server systems). Excellent communication and interpersonal skills with the ability to work effectively in a collaborative research
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other soil food web members is essential, along with published work in peer-reviewed journals and experience presenting at both national and interna-tional conferences. We want a motivated
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. Contribute to the implementation of a web‑based user interface that exposes the models to external users (engineers, operators, consultants, authorities) and supports scenario studies, sensitivity