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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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for an ideal balance between stability, performance and price Building a test station for evaluation of electrochemical performance in short stack Physical, spectroscopic, and electrochemical characterization
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of Empirical Innovation Economics. Participating in the structured doctoral program of the Munich Graduate School of Economics (MGSE) at LMU. Contributing to exciting and highly relevant policy projects
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) is available within the research group FOR 5456 of the German Science Foundation (DFG). The overarching goal is the first implementation of satellite-based relativistic geodesy using optical atomic
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) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a strong drive and background
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial
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Your Job: Join the Safe.SIB research project to develop new battery cell chemistries or introduce new functionalities into an existing battery technology to achieve safe, ultra-high performant
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-scale training of a high-performance foundation model using a dedicated GPU cluster Fine-tuning the pretrained model on real-world health data from lifespin’s proprietary database Collaborating closely
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of agricultural applications, technology and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the German States (TV-L). Your qualifications • A
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the