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staff members. These are spread over about 20 research teams. The research for this PhD position will be conducted in the IDLab research cluster on Intelligent Wireless Networking (https://idlab.ugent.be
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the catalyst’s dynamic evolution. The goal is to select model systems based on the complex reaction networks involved in the CO2-to-hydrocarbons process, using machine-learned models for a consistent
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grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. Doctoral fellow within the Marie-Curie Doctoral Network SCARPA Today, fewer than 5
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complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high-throughput omics, Linux command line, machine learning and
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complex datasets. A primary example is the domain of biotechnology where methods such as single-cell omics, proteomics, metabolomics and high-throughput screening result in massive amounts of data
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complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high-throughput omics, Linux command line, machine learning and
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complexity and requires the use of multidisciplinary techniques and competencies. This PhD project aims to further exploit the potential of mRNA-LNPs in this context by developing advanced analytical tools
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Doctoral Network SCARPA Today, fewer than 5% of shoes are recycled, despite growing awareness around sustainability and initiatives from leading brands. Tackling the sustainability challenges of the footwear
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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on Intelligent Wireless Networking (https://idlab.ugent.be/research-teams/iwine ). YOUR TASKS Job description Many industrial and healthcare applications demand real-time knowledge of the location, status, and