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neutrino astronomy.At its Zeuthens location, DESY has a strong focus on astroparticle physics (https://www.astro.desy.de ). In particular, we host one of the largest groups in IceCube and play a leading role
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of workflows in Python to optimize throughput, reproducibility, and data management. The overarching goal is to create a standardized and scalable platform that accel-erates discovery in stem cell biology and
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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research ideas will be considered. For the 2026 cohort, we prioritize applications related to the scope of the following research areas: Chemical and Electrochemical Energy Storage Atmospheric Change and
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing
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are neither energy-efficient nor cost- effective. Realization and optimization of affordable, low-power gas sensors is a significant step towards battling climate and environmental challenges, transforming
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into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through