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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine learning, reinforcement learning, surrogate models
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Publish research findings in peer reviewed journals Why Join Us? Build your publication record and professional network Collaborate in a supportive, innovative research environment Gain experience with
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networks. Prior significant contributions to advanced machine-learning or deep-learning models. Evidence of having led a key research project, indicated by a first-author or corresponding-author paper in a
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-driven control for autonomous vehicle systems with an emphasis on 5G/6G Open RAN (near-RT RIC, xApps/rApps) and vehicular edge computing. The postdoc will design and evaluate networking architectures and
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the area of Neurosciences and/or Network Analysis. Ability to perform advanced structural and functional image analysis. 6 years of experience in Neuroscience. Responsibilities Research Under general
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network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation