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. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
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to develop and carry out high-quality research. Teaching skills. The main criterion for a postdoctoral fellowship is research expertise. Only applicants whose research plan and earlier work can strengthen the
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for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent communications skills in English, both verbal and written. We are looking for someone who is motivated
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needs and development. Actively participate in seminars and other relevant meetings, and present the project according to the study plan. Qualifications Requirements for the position are: Doctoral degree
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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knowledge of English, in speech and writing; significant practical experience in X-ray microtomography for materials research and 3D/4D image analysis; knowledge and experience in programming (python, Matlab
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for the position and to have the general ability to fulfil their work duties well. Assessment criteria Applicants are expected to present their current research as well as a research plan for the coming years, and
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expertise is also substantiated by publications in well-established and highly regarded international research journals, documented ability to plan and lead national and international research collaborations