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Field
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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on the interplay between observations of natural phenomena, experimentation, and the modeling of the associated complex processes. ISTerre also conducts solid Earth observation missions, by hosting and
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persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is
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size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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related field and have previous academic experience in machine learning. The candidate should have a strong background in metrology and medical image processing. Active participation and collaboration
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technologies for clays rely on high-temperature roasting followed by aggressive acid leaching, processes that are energy-intensive, generate substantial chemical waste, and produce significant carbon emissions
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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging
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science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology