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Field
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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an internationally renowned INSERM Unit. The candidate must appreciate teamwork, have good interpersonal skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies, spatial
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cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of spatial biological approaches applied to human tumour models including organ/tumour perfusion, slice
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modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running and evaluating environmental models. Good publication record. Good speaking and writing
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innovation facility represents a new form of collaboration between universities and industry in the healthcare domain. Fortunately, there are many models for such facilities that exist in many places and which
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. The position will be available for a 3-year period. You will be part of a research environment focusing on applying digital solutions to map spatial and temporal variability of crop growth as well as evaluate
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal