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Field
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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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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position available within the research project entitled: “Nonlinear Studies of Stratified Oceanic
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Control of Electrochemical Reactions This new project is a collaboration between our group and the Interface Science Department of the FHI, and combines the expertise in nonlinear infrared spectroscopy
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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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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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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques
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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
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
initiative to study corporate climate action and its potential to catalyze social tipping points (i.e., nonlinear shifts in societal norms, policy, technology uptake, and consumer behavior) that will