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of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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theory approaches. Collaborations with UBC offer an international environment with opportunities for extended research stays in Vancouver, Canada. For specific projects and further information see www.rtg
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experience in one or more of the following: mouse work, behavioural analysis, viral tracing, coding We offer international working environment with communication in English and German interesting career
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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scientific career. For this reason, we established Career Development Centers for postdoctoral researchers in the Helmholtz Centers. This equips young researchers with the skills they need to go on to head a
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Area of research: Scientific / postdoctoral posts Job description: We are seeking an enthusiastic and motivated PhD student to conduct research at the interface of immunology and neuroscience
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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employment: as soon as possible Duration of employment: 3 years Working time: 29 h 52 min (75 %) Application deadline: 2025-07-30 Code number: 326-25 Your main tasks Participation in the DFG-funded project