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- Institute of Molecular Genetics of the Czech Academy of Sciences
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Infrastructure? No Offer Description The Centre for Lithospheric Research (https://clr.geology.cz/ ) was established in 2012 within the Czech Geological Survey on the basis of an initiative by the Czech government
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considered a strong advantage. Proficiency in statistical programming languages such as Python, R, is expected, as is the ability to work with complex clinical datasets and handle missing data thoughtfully
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transformation, or reporter-based imaging basic data analysis skills (R/Python), statistics, or omics/bioinformatics prior experience with hormone biology/plant signalling/transport LanguagesENGLISHLevelGood
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proficiency in Python, R, and Linux command-line environments. Familiarity with databases such as Ensembl, UniProt, NCBI, STRING, Reactome, Protein Data Bank and PRIDE/PeptideAtlas. Strong ambition to discover
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scientific analyses (experience may be part of doctoral studies) advanced knowledge of data analysis (e.g., R, Python, SPSS, STATA) and familiarity with artificial intelligence methods or experimental
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. Demonstrated experience with data analysis generated by NGS, proteomics, single-cell omics and spatial genomics. Strong proficiency in Python, R, and Linux command-line environments. Familiarity with databases
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, Python). Experience with Computational Fluid Dynamics (CFD) simulation software (e.g., Ansys Fluent) and Flight/Astrodynamics Simulation Software (e.g., NASA GMAT, Ansys STK) is considered an asset
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public events. Independent work as well as collaboration with other members of the project team. Content of the research activity: Spatial analysis in GIS (e.g., in QGIS or Python) aimed at analysing
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optics and related models and techniques, or interest to learn them Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Advanced English (written and spoken) Will to learn new techniques and
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excitations in nanoscale structures (e.g. methods of computational chemistry) or related techniques. Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Will to learn new techniques and approaches