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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
submitted by July 27, 2025 will receive full consideration. For further information please contact Dr. Eva Schinnerer (schinnerer@mpia.de ). The Max Planck Society is committed to increasing the number
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states Investigation of non-equilibrium dynamics relating to quantum simulation or pump-probe experiments Machine learning for feedback control of monitored quantum systems Participation in international
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
are already working towards an early start of deep-sea mining, there is still an urgent need for research on the associated environmental impacts. In the JPI-Oceans project MiningImpact, the Deep-Sea
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in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
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environment (e.g. cleanroom, laboratory Deep knowledge of solid state physics and/or quantum information Experience with microfabrication and/or operating and calibrating quantum systems Experience with
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an