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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
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document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role
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close to completing) a PhD in biology, bioinformatics, genomics, or molecular physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology and advanced live imaging
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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advanced instrumentation (cellular and animal models, proteomics, gene editing, lentiviral transduction, live cell imaging, super-resolution microscopy, etc.). For more information on the research themes in
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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collection, image processing, and statistical analysis. Understanding of developmental neuroscience or clinical neuroimaging contexts (e.g., perinatal brain injury, congenital or preterm cohorts). Ability