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Field
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degree in physics, (physical) chemistry, or material science. Knowledge in the operation of ultrahigh vacuum equipment and using X-ray spectroscopies is mandatory. Background in photovoltaic materials
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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group at the Institute of Coastal Ocean Dynamics conducts laboratory- and field-based research, by developing and deploying unique, novel high-resolution imaging systems to investigate submillimeter-scale
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worldwide, taking on strategic responsibilities in the setup, operation, and coordination of experiments. Their strong contribution to data analysis, student supervision, and the dissemination of scientific
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experimentation (IMD-3: Institute of Energy Materials and Devices – Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies – Theory and Computation) towards the overarching aim
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recruitment is subject to project approval. Your tasks Carrying out experiments on fuel cell performance test Characterization of electrode activity by electrochemical measurements Test the permeability
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Light Source) Develop and test infrared blocking filters with high transmission in the soft and hard x-ray range Perform soft and hard electron and x-ray spectroscopy experiments on applied material
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Description Project background: Molecular spin qubits are an appealing platform for quantum information processing due to their potential for long coherence times and high chemical tunability
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as