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Field
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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the procedure has been completed. Where to apply Website https://berufungsportal.uni-frankfurt.de Requirements Research FieldMedical sciences » MedicineEducation LevelPhD or equivalent Additional Information Work
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to the table You are studying computer science, computer engineering, computer visualization or a similar field You are interested in interactive 3D and AI-based systems and ideally have experience with Unity
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biology approaches, and advanced imaging techniques in live cells, organoids, and organisms, the laboratory continues to identify and elucidate basic mechanisms of tumor virus infections in cells. Moreover
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Requirements: university and PhD degree in physics, biology, engineering, or a related field strong background in quantitative imaging and analysis; prior experience with single-molecule imaging and/or
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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on plant performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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Applicants must hold a Bachelor’s degree and a Master’s degree (or equivalent) with a minimum total of 300 ECTS credits in fields such as data science, computer science, physics, or mathematics. Candidates