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and amorphous materials for space applications' Your tasks R&D in the domain of X-ray analytics, with a focus on X-ray diffraction and scattering (XRD, XRD-PDF), data analysis and modelling
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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels
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application of statistical software, preferably R, STATA Good knowledge of national and international clinical research regulations (e.g. HFG, ICH-GCP) Excellent written and oral communication skills in German
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irradiation. M. Oppermann, B. Bauer, T. Rossi, F. Zinna, J. Helbing, J. Lacour, and M. Chergui, Optica 6, 1, 56-60 (2019). https://doi.org/10.1364/OPTICA.6.000056 M. Oppermann, J. Spekowius, B. Bauer, R
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
, we expect good knowledge in R programming, a good command of English, as well as strong skills in scientific paper writing. FORSAID encourages close collaborations among different European research
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(or similar) on concrete (or similar quasi-brittle materials). Experience with materials- and large(r)-scale component testing. Experience in laboratory testing and the use of conventional sensing equipment
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. We expect the candidate's enthusiasm for X-ray based analytical methods and Space sciences! Your tasks R&D in the domain of X-ray analytics, with a focus on X-ray diffraction and scattering (XRD, XRD
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computing and scripting languages (e.g. R, Python). You are highly motivated to analyse data using sophisticated methods and tools. Good communication and organisation skills, an excellent team spirit and
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(or similar) on concrete (or similar quasi-brittle materials). Experience with materials- and large(r)-scale component testing. Experience in laboratory testing and the use of conventional sensing equipment