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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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Association with an international reputation and globally networked research infrastructure. It is active in three closely interlinked fields: collection-based research, collection development and cataloguing
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immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop innovative and efficient cellular immune therapeutics in these areas. Our own GMP laboratories and close networking
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highly automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism
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automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism, mutual
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student in the area of ?parameterizing ocean mixing? Reference code: 50142721_2 ? 2025/KD 4 Commencement date: as soon as possible Work location: Geesthacht (near Hamburg) Application deadline: July 10th
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-regulatory network changes. The project is part of the HEROES-AYA consortium of the German Decade against Cancer, a collaboration between multiple sites in Germany, and the Computational Biology lab of Anna
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within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation
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support systems. The aim is to develop solutions for key social challenges in areas such as sustainable energy supply, personalised medicine, and networked mobility. Within the MODAL campus, the MedLab