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Field
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analysis, is an advantage Experience with image processing or quantitative image analysis (e.g., microscopy or live-cell imaging data) is an advantage What we offer At Maastricht University, you’ll work in
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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computer vision and image-processing methods, complementing modern deep-learning approaches. Familiarity with the deep-learning and analysis tool ecosystem used in mesoscale rodent brain mapping - spanning
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(DRG) isolation, processing, and analysis Desirable Qualifications: Experience with statistical analysis software such as GraphPad Prism or R Experience with catch-clamp recording Experience with Ca2
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-assisted image analysis, and AI-driven predictive modeling. The project is part of an EU-wide initiative to address the growing issue of airborne health threats found indoors. Your profile: • Master’s Degree
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-physics optimisation, ultimately delivering prototype-oriented design methodologies for future industrial applications. Who we are looking for: We are seeking an enthusiastic and self-motivated candidate
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; (ii) image and data acquisition in experimental fluid mechanics, and the use of specialized software such as MatLab and LabView for image / data analysis and instrument control; and (iii) computational
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular