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implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing JUNIQ’s user platform by integrating
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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position within a Research Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Scientific / postdoctoral posts Job description: Your Job: You
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-reviewed journals Your Profile: Required qualifications and skills: Scientific university degree (Master’s) followed by a PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge
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students and student projects Your Profile: Master Degree and PhD in plant sciences, plant biology, plant physiology, agriculture or other related disciplines Solid background in whole plant eco-physiology
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: Master Degree and PhD in plant sciences, plant biology, plant physiology, agriculture or other related disciplines Solid background in whole plant eco-physiology, plant growth and / or plant architecture
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Berlin and the Max Planck Institute for Chemical Energy Conversion in the frame of the Catlab project, the Inorganic Chemistry department of the Fritz-Haber-Institute of the Max Planck Society is offering
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. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial
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Your Profile: Required qualifications and skills: Scientific university degree (Master’s) followed by a PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge
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“Theoretical Electrochemistry and Data Science” at IEK-9 plans to design and code a flexible, adaptive tool for digital image processing. Various experimental imaging techniques are routinely applied at IEK-9