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unique three-dimensional maps of neurotransmitter receptor distributions in the human, non-human primate and rodent brain Develop efficient processing pipelines enabling the spatial integration
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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and mainstream Climate and ESG financial risk assessment at supervisory authorities in the EU, we are looking for a researcher/senior researcher to join the team. The project is funded by the European
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Southeast Asia) are welcome. Your Future Tasks: Engage in interdisciplinary research focused on mantras and/as sound, and mantras as unequally distributed sounds. Publish your findings in peer-reviewed
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of how hotspots in human and marine mammal presence are distributed in affected areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken