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prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable future. These EMS coordinate
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
) Background Antarctica is often called the world’s last great wilderness, surrounded by a so-called ‘pristine’ ocean that harbours a highly diverse fauna of invertebrates, fish, birds, and mammals
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Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Acoustic possibilities for Southern Ocean management dilemmas" (f/m/d) (HIPP26 #4) Background Antarctica is often
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 23 days ago
) spectral energy distribution fitting, star-forming regions/nebulae analysis, photometry, region morphology and/or catalog generation are in particular encouraged to apply. Applicants (m/f/d) should have a
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amplified religious sounds. Three dimensions are particularly relevant here: Music and music instruments. How do mantric practices share a sonic ideology that is common to genres of sacred sound like zikr
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07.05.2025 Application deadline: 13.06.2025 The University of Tübingen is a leading place for research in artificial intelligence with excellent research infrastructure and the University Hospital
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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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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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the vertical flux of organic matter in different oceanic regions. This will include the use of in situ camera systems, sediment traps, and bio-optical platforms to quantify particle abundance, size distribution
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, Mathematics, Physics, or similar fields Broad interest in scientific topics Good knowledge of AI and applied Machine Learning Practical experience with High Performance Computing Systems as well as parallel