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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is supported by Google.org and is embedded in a broader research
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Vacancies PhD researcher: Smart active mobility to improve health and wellbeing Key takeaways The PhD vacancy is part of the DynamiCity project, a Horizon Europe project that will demonstrate how
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD vacancy is part of the DynamiCity
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Technology » Nanotechnology Technology » Measurement technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 00:00 (Europe/Berlin) Country Germany
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 hour ago
3D and image-based computer vision Experience implementing 3D computer vision algorithms and training end-to-end machine learning models (from data collection and design to evaluation) Knowledge and
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mission and/or the Sunrise III stratospheric balloon, with the possibility of combining these data with other space missions and ground-based observations. • Analysis of images, spectra, and polarization
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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seek for the following capabilities: • PhD or Master in Biology, Biophysics, Biochemistry, Bioengineering or related topics. • In vivo imaging experience, preferably optical, ultrasound or even photo
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues