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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
parameters, including hydroacoustics, catch data, eDNA, imaging data, phytoplankton and zooplankton Contribute to harmonized FAIR-compliant data products from autonomous observatories and other national
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 2 months ago
zebrafish embryogenesis. This research combines the power of the zebrafish embryo with RNA biochemistry, massively parallel reporter assays, next-generation sequencing, computational and imaging approaches
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to advance a novel compact gas pressure sensor based on a chip-scale mechanical oscillator with ultra-low intrinsic loss. Building on a successfully demonstrated portable prototype and identified application
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to join our team. Tasks may include: Develop methods to analyze multimodal digital N-of-1 trials (patient reported outcomes, wearables, images, audio) linking causal inference and deep learning Develop
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Chair of Biological Imaging 27.02.2026, Academic staff We are now seeking a highly qualified and motivated postdoctoral fellow (f/m/d) to drive the development of novel optical technologies
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QUINCY (Thum et al. 2019) into the Earth System Model ICON, and is currently using QUINCY for various ensemble-based projects including offline (i.e. reanalysis-driven simulations such TRENDY, NMIP) as
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networks, and effects of microbiome-modulating strategies Apply state-of-the-art microbiological methods (aerobic/anaerobic culture, quantitative assays, imaging/analytics as appropriate) and coordinate
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division "Catalytic Interfaces for Chemical Hydrogen Storage" (IHE-1), led by Prof. Dr. Hans-Georg Steinrück, we investigate mechanisms and processes in (electro)chemical energy storage systems
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and