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, viability, cytokine readouts), and imaging/flow cytometry. Maintain rigorous records, QC, and SOP adherence for human biospecimens. Analyze/interpret data with basic scripting skills (R/Python) and
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helpful, as is comfort with multi-omics (scRNA-seq/spatial, proteomics/metabolomics) and analysis in R or Python. A translational mindset—thinking in terms of potency, QC, and GMP-relevant considerations
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management and analyses of large quantitative datasets using relevant software (e.g. STATA or R) Demonstrable experience of successful project management and compliance with relevant governance and quality
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/personale-d-e-r/ricercatori-t-determinato Street VIA VERDI 8 Postal Code 10124 E-Mail CONCORSI.DOCENTI@UNITO.IT STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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://www.unito.it/universita-e-lavoro/opportunita-ed-esperienze-di-lavoro/personale-d-e-r/ricercatori-t-determinato Street VIA VERDI 8 Postal Code 10124 E-Mail CONCORSI.DOCENTI@UNITO.IT STATUS: EXPIRED X (formerly
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such as SPSS, R for statistical analyses and visualisation will be an advantage. Some research and/or clinical experience/interest in the area of stroke rehabilitation or care will be an advantage. Key
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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analyses (in R, Python, or other relevant language), and experience working with spatial datasets and spatial modelling using GIS or R. Strong organisational, time management, intercultural and interpersonal
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management and analyses of large quantitative datasets using relevant software (e.g. STATA or R) Demonstrable experience of successful project management and compliance with relevant governance and quality
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analysis (including EEG data and statistical methods) using R, Python, and/or MATLAB. Proficient in academic writing Good organizational and documentation skills and able to work within tight deadlines Good