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Field
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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ultrafast nonlinear optical spectroscopy techniques—such as transient absorption and impulsive vibrational spectroscopy—the role aims to probe polariton-controlled electronic and nuclear dynamics occurring
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tracking. Specifically, advance photocurrent detected broad-band ultrafast micro-spectroscopy, towards nonlinear current/fluorescence detected multidimensional micro-spectroscopy. Contribute to publications
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group in electro-optic and optical nonlinear shaping of quantum light pulses, quantum communication, mid-infrared quantum optics and beyond. The employment will be within the project „High-dimensional
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Linear and nonlinear photonic device testing Finite element analysis (FEA) Micro‑ and nano‑fabrication Knowledge in quantum optics/physics is a strong plus Qualifications: PhD required A combination of
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independent research and highly motivated to develop novel nonlinear optimization techniques and to deepen the understanding of their mathematical foundations. Additionally, your problem-solving skills and
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whole-genome and exome sequencing. The group also integrates multi-omics data through nonlinear data fusion approaches and leverages pre-trained DNA language models as unsupervised feature extractors
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in nonlinear X-ray-matter interactions and ultrafast diffraction/imaging are targeted with this position as Postdoc in the MID group. For our MID group, we are looking for a Postdoctoral researcher for
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to advise Ph.D. graduate students on the nonlinear computational modeling of rail structures. Must hold a Ph.D. with emphasis on nonlinear solid mechanics. Physical Requirements: Ability to perform common