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-filler composite fabrication Experience with at least several of the following techniques: SEM, SAXS, DLS, DSC, TGA, DMA, AFM, rheology, adhesion testing, FTIR, Raman, or comparable methods Evidence of
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international journals with peer review Outstanding knowledge in statistical and quantitative analyses methods; preferable are also experiences with longitudinal studies and the analysis of longitudinal data
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, DLS, DSC, TGA, DMA, AFM, rheology, adhesion testing, FTIR, Raman, or comparable methods Evidence of scientific output (e.g., peer-reviewed publications, preprints, patents, software, industrial reports
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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, particularly microbial community structure and environmental adaptation Experience in handling large datasets is an advantage Experience with bioinformatic methods applied to genomics and/or metagenomics is
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datasets We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity to familiarise yourself quickly with new
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genomic laboratory and analytical methods Perform species distribution modelling and other relevant non-genetic analyses to study species ranges and boundaries Organise and coordinate sample collection