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Field
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capabilities. Different imaging simulators are also available within the department including CT, PET/CT and MRI. Research is highly active here. The primary goal of this position is to implement novel MRI and
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to support translational outcomes and shared priorities perform quantitative and qualitative data collection, coding, analysis and interpretation, and contribute to the production of high‑quality peer‑reviewed
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, Bioengineering, or Biomedical Engineering; Preferential factors: • Education or training in reaction engineering, microfluidics, microbiology, fluid dynamics, image analysis, or machine learning (where applicable
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examples to guide and prototype the development Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in applied and computational mathematics, scientific
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and imaging data. Experience working with human post-mortem tissue to corroborate experimental findings is highly desirable, as is competence in computational biology through coding skills tailored
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of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis