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record in relevant peer-reviewed journals, including publications demonstrating a substantial individual contribution. Experience with scientific programming, experimental automation, and data analysis
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), statistical analysis of LHC data or beyond-the-Standard-Model phenomenology, is meriting. Experience with large-scale training on GPU and HPC systems, with design of experiments and active learning, with open
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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or scale-up of algal cultures; biomass harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal
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. Contribute to optical instrumentation development, data analysis, and integration with complementary microscopy techniques. Investigate nanoparticle behaviour and interactions in complex environments and
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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and analysis of monitoring data, as well as identification, prioritisation and execution of maintenance need to be enhanced. To this end, the increasing amounts of collected data from operations
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high-throughput data analysis is considered a