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Field
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments
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. The successful candidate will work on field-based experiments, data collection, and analysis, focusing on understanding the interaction between floral resources, pollinator activity, and apple yield outcomes
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with pixel detectors construction, and electrical test-systems, and to some extent with test beams, data analysis and development of mechanical systems. She or he will be required to interact in
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technology, based on aluminium anodes and carbon cathodes. The development will be conducted in a multidisciplinary framework, implying that materials research is aided by sustainability analysis, and focused
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announcing a PhD position in Logistics focusing on Immersive media technology environments in the analysis of consumer response in circular value chains. The PhD position is organized under Department
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technical work packages: WP1 Annoyance from wind turbines WP2 Wind turbine noise data collection and analysis WP3 Wind turbine noise source modeling WP4 Wind turbine noise propagation modeling WP5 Wind farm
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Element simulations (e.g. pushover analysis and/or incremental dynamic analysis). Moreover, the project aims to verify the ductility requirements with full-scale experimental results and explore
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and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
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learning is required. Experience with spectral wave modeling is an advantage. Experience with ocean modeling is an advantage. Experience with metocean data analysis is an advantage. Experience with git
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis