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(e.g. SolidWorks) • Programming language skills in Matlab and/or Python • German language level B1 or higher What we offer: • Full position (100% / 40h, pay grade E13, TV-L) • Flexible solutions for home
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of cladding hoop stress and assessment of PCI-failure risk, • implementing, testing and documenting computational tools, for example in Python, and contributing to reproducible computational workflows
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing
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both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden, embedded within
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languages commonly used in the scientific environment (especially R, Python) would be an asset. Most of the work will be carried out in the laboratory at the LAPA facilities on the CEA Saclay site. Field
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; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of an interdisciplinary research team. The following qualifications
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audiences and collaborate across disciplines; proficiency in spoken and written English. Experience with plant pathogens, microbiome sequencing, image-based phenotyping, R/Python, statistics or machine
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in Python and/or C++ programming will be considered a strong advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-006/Default.aspx Requirements Research
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. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer coding, such as R, Python
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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language