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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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will be: Supervise scientific projects from a variety of scientific and engineering research areas with questions in AI, machine learning, and data mining Project-based interaction with data-savvy domain
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approach Parameterization and validation of a tunneling-based battery aging model for the used battery cells Determining the requirements between modeling and sensor technology, e.g. sampling frequencies
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23 Feb 2024 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 19 Mar 2024 - 23:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded...
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and validation of a tunneling-based battery aging model for the used battery cells Determining the requirements between modeling and sensor technology, e.g. sampling frequencies, accuracies, and
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degree in physics, chemistry, material science, chemical engineering or related disciplines Fundamental knowledge in structural characterization of matter, ideally synchrotron methods (e.g. X-ray
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physics), physical chemistry, chemical engineering or related field Basic knowledge of electrochemistry and experience in electrochemical energy technologies (especially polymer-based fuel cells and