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interest in cytoskeletal dynamics and cancer biology Proficiency in Python and MATLAB for image and data analysis Experience with 3D/4D image processing or quantitative modeling Experience with optical flow
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is considered positively, but is not a requirement: live cell microscopy, image analysis, whole genome sequencing, physical/mathematical modeling, coding in Python and/or Matlab. Suggested reading
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-working Ph.D. student. The candidate must have a basic knowledge of programming fundamentals in R and Python and should hold a master degree in genetics, molecular biology, cell biology, or in a related
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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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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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. 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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professional research team, preferably in the field of particle or nuclear physics; * Proficiency in English, both written and spoken; * Working knowledge of a modern programming language (e.g. C, C++, Python
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develop technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox The PhD student will be employed in Loschmidt Laboratories , one of the leading protein