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, and drug resistance in myeloid leukemia. The successful candidate will carry out proteomic experiments with access to state-of-the-art mass spectrometry and computational infrastructure. The position
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100% contract. A dynamic, interdisciplinary, and international research environment with excellent, state-of-the-art infrastructure. A cooperative, friendly and supportive environment, with plenty
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 5 hours ago
interaction for chemistry and materials. Overall, we aim to unravel and apply fundamental physical principles to create and control novel states of matter with light. For the ERC Synergy project “Unravelling
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Interaction and Computational Interaction. • Work in a dynamic, collaborative environment with leading experts. • Have access to state-of-the-art facilities and a stimulating research setting. • Participate in
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, with the ability to effectively interact with a broad scientific audience Willingness to contribute to grant writing, project proposals, and to represent the team at scientific meetings and conferences
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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-organic frameworks, and their physicochemical properties. State-of-the-art spectroscopy techniques are used to enhance the understanding of interactions at the molecular level. The focus is on diffusion and
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of German preferred We offer: Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Salary will be paid in accordance with TV-L, level 13
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning for deformation