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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | about 2 months ago
contact # Performing your own experiments at ROBL at XRD and XES stations # Analyzing experimental data with quantum mechanical software, with particular focus to calculations using Quanty, ORCA, FDMNES
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electromagnetic software (Ansys-HFSS, CST Microwave Studio) will be required. Knowledge of the integration of functional materials and the RF characterisation of their dielectric properties, as
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datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators
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programming applied to statistical models, as well as in GIS, • knowledge of cancerology, • an experience in spatial data processing and/or remote sensing. You are familiar with the necessary software and tools
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tools and software for reprocessing mass spectrometry data (Dynamix, Proteome Discoverer, MaxQuant, etc.). - Manage work in an ISO9001-certified environment; - Communicate with internal and external
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experience with statistical software languages (R, Stata, or Python). Leadership and excellent communication skills, with strong adaptability and initiative skills. Excellent English proficiency. Specific
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software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required The candidat
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protocols using computer-based data collection software, preparing and submitting ethics applications, drafting informed consent documents, and pre-registering studies. - Submit research protocols
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a