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Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examination approx. 1-2 months Review Process approx. 3-4 months Conferral Nomination documents Laudation
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Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
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microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics
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The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal
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University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Good experimental skills will be considered an advantage Experience with image processing will
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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(immunohistochemistry and in situ hybridization) FACS and flow cytometry Proteomics analysis Computer image analysis We are looking for motivated candidates who hold a B.Sc. or MSc. in biology or related discipline. They
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German language proficiency is not required. Applicants must provide proof of their English skills with one of the following certificates: TOEFL minimum of 550 (paper-based test), 213 (computer-based), 79 (Internet
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experienced supervisors, each with over 20 years of expertise in machine learning and computer vision. These supervisors have strong track records of research excellence, with numerous publications in top-tier