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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
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phosphorus-driven eutrophication, with experience in soil monitoring and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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chemical research and IT systems. Proficiency in Python (or a comparable scripting language) for data analysis, workflow automation, and process optimization. Working knowledge of Linux and Windows operating
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acquisition using EEG, fNIRS, and/or eye tracking, as well as advanced expertise in subsequent data processing and analysis Experience in the administration of cognitive tests Evidence of thematically relevant
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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genetically modified mouse models. Experience with spectral flow cytometry is essential. Experience with cell sorting, preparation of tissues for RNAseq and confocal microscopy analysis is highly desirable