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responses and processes such as definition of primordia in shoot apical meristems, selecting the site of organogenesis in lateral root primordia, specification of stem cell niche in roots, directional growth
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and strong skills handling numerical datasets Satellite image processing skills, for example, using gdal, SNAP, Google Earth Engine, ENVI Experience of machine learning, especially for image analysis
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based on nanocrystalline material. Starting from material treat gment and testing, analytical solution based on vector potential, through the numerical FEM model, physical model and prototype
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literacy, including experience with statistical software We Offer: · A creative, international working environment · Competitive salary based on the Institute's internal policies, as
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In accordance with the The Competitive Hiring Process Code of Charles University
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is a critical physiological process requiring precise coordination of cellular functions, including DNA replication, transcription, and the DNA damage response, to support milk production. This PhD
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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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polarization is essential for many biological processes such as asymmetric cell division, cell migration and body axis establishment, and can be observed throughout the tree of life. Cell polarization can be
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected