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positioned in the Esbjerg Energy Section. Research areas will focus on AI-driven control systems, grid-forming inverter technologies, and intelligent energy storage integration using second-life EV batteries
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. Further information Further information may be obtained from Prof. Ivan Mijakovic: ivmi@biosustain.dtu.dk You can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are
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project, which focuses on the mechanical and mechatronic design of continuum surgical robots, with applications in neurosurgery and endovascular interventions, as well as sensing and control
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analytical skills, including the ability to design, implement, and analyze complex experiments Prior experience with EEG is a plus Prior experience with cognitive modelling is a plus Good command of statistics
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/or visual attention and psychophysics Strong analytical skills, including the ability to design, implement, and analyze complex experiments Prior experience with EEG is a plus Good command of
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identified previously unrecognized cell-intrinsic mechanisms that regulate replisome dynamics and fork speed, establishing replisome velocity control as a key genome surveillance strategy (PMIDs: 29123070
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of turbulence and fast-ion interactions. Your work will not just observe plasma behaviour; it will illuminate the fundamental physics required to control it. Your Role: Pioneer and Innovator As the lead postdoc
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from the lab has identified previously unrecognized cell-intrinsic mechanisms that regulate replisome dynamics and fork speed, establishing replisome velocity control as a key genome surveillance
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implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your competencies We are looking for applicants with a strong interest in causal
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare