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, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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), Universitätsmedizin Greifswald offers attractive benefits such as company pension schemes and employee discounts. Professional development opportunities: Regular training and development programs are offered to support
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quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution
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: 01.10.2025 Application deadline: 03.09.2025 Tasks Execution of experimental work in a mouse model of cortical multiple sclerosis Application of in vivo imaging and quantitative analysis methods Investigation
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essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success
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biomedical applications. Research at the DKFZ is organized into six research programs : On the mission for a life without cancer, the DKFZ collaborates with renowned clinical and research institutions
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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application documents (cover letter, resume, certificates in a single PDF file) exclusively by email. The university is committed to gender equality and therefore strongly encourages women to apply. People with
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perinatal life (TRR359) involvement in teaching across different life science study programs at the faculty of Medicine Perspective: Junior Group Leaders Your profile at the IPC: analyses of high throughput