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role You will work in an international team to develop computational methods that are designed to investigate the effects of rare variants and apply them in large cohort studies. This project builds
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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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intensity and broad energy spectrum, make these sources ideally suited for in situ and operando investigations of advanced materials. At the same time, recent developments in lab-based XAS spectrometers
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of topics: working on interdisciplinary issues, e.g. novel reactors, hybrid heating systems or process optimisation Team building: Support in building an interdisciplinary research team by selecting and
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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research project “Cities. Building. Culture – The Residential Heritage of the Soviet Union in Times of Multiple Crises” funded by the Federal Ministry of Education and Research (BMBF). This international and
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Green Deal and the lignite phase-out. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerated technology development and the sustainable
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Build large-scale AI to map and monitor plankton biodiversity, ecosystem health and carbon flux, facilitating decision‑making in the face of climate change. Hosted at the Max Delbrück Center
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and