111 python "https:" "BCAM The Basque Center for Applied Mathematics" uni jobs in Czech
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 1 day ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · development of a Python application with a graphical interface, · compilation of parallel applications and
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). Specific goals will be discussed and elaborated with selected candidate, depending on their background, interests and skills. The successful candidate will join the Climate research group (https
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 1 day ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: development of a Python application with a graphical interface, compilation of parallel applications and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 1 day ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: development of methods for acceleration of parallel applications in the High Performance Computing (HPC
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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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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