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learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology/immunology are a plus.Relevant skills include:•Experience
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(GC-QTOF-MS) for the analysis of different biological matrices, such as cell extracts, human and animal tissues. These established platforms need to be refined and further tailored to the analysis
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cross-cultural analysis in order to engage with questions of labour mobilisation and the organisation of monumental construction. Given your role within the research team, you will be expected
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state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit
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. Experience handling and analyzing experimental process data, including mass and energy balances. Programming or data analysis skills (e.g., Python, R, MATLAB) are an asset. Ability to work independently while
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& kinetic modelling for process improvement and smart reactor design. You will critically evaluate of reactor performance, data analysis and writing reports and manuscripts. You will contribute
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proteomics, live cell imaging, biochemistry and mutant analysis. As this is a truly joint project, the postdoctoral fellow will be able to benefit from available expertise in both labs. Your profile Ph.D
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. Siegfried Vlaeminck launched the Biobased Cleantech and Environmental Analysis Research (BioCLEAR), a proud member of the Biobased Sustainability Engineering (SUSTAIN ) Research Group of the Faculty
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research project Strong analytical skills and experience with data analysis Proven track record of scientific publications and presentations at international conferences Experience supervising or mentoring