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- Technical University of Munich
- Hannover Medical School •
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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also welcomes engineers, for example, in the field of material sciences. The three main PhD programmes, Molecular Medicine, Infection Biology/DEWIN, and Regenerative Sciences, start annually in October
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computer scientists or life scientists who already have a training in bioinformatics and are interested in developing their career in biomedical data science. In order to be registered to the PhD programme
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quantification and improved digital processes in research data management to produce AI-ready FAIR data—essential for trust in scientific predictions. IDEAS combines ambitious PhD research with structured training
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr University Bochum or University Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large catalogue of electives, which comprises advanced seminars and courses in soft skills and professional skills, is
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the university institutes and the cooperation partners in industry and science. The advanced Manufacturing Engineering paradigm for next generation factories is supported by a collection of emerging technologies
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 2 months ago
Master's degree / PhD programme No Joint degree / double degree programme No Description/content The IMPRS CoNI provides world-class training for doctoral researchers and aims to nurture the next generation
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-informatics components of the SEQUORA research prototype together with medical informaticians, gynecologic oncologists and consortium partners Develop and harmonize longitudinal clinical data models