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science and engineering or a related subject Strong capabilities in software engineering and programming are essential. You should have very good knowledge of and practical experience with machine learning
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the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
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university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation to scientific computing Recent experience
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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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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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you have: Completed university studies (masters degree) and a doctoral degree in computer science, applied mathematics, computational science (physics, math, chemistry,..) and engineering or a related