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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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on 01. January 2026 or soon after. The position offers the opportunity to pursue a doctoral degree in natural or computer science as a member of the graduate school “Helmholtz School for Marine Data
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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Via Multiple Noncovalent Interactions” in the second funding phase at the Martin Luther University Halle-Wittenberg will start with a highly interdisciplinary and ambitious research program in November