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-effective means to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies
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Evidence of ongoing research utilizing Big Data in physics and astronomy, theory or experiment, including but not limited to developing and applying machine learning and/or data-driven modelling to large
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scientific writing skills; strong project management skills; and eagerness to learn and collaborate with others in the lab. -Experience in the area(s) of cognitive control theory and/or prefrontal anatomy
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period of three years. The position is located at the University of Agder’s Kristiansand campus. The proposed starting date is the 1st of September 2026. About the Faculty: https://www.uia.no/en/about-uia
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learning algorithms for closed-loop optogenetic control of neural circuits (DC2). The appointed DCs will participate in an international research team as part of the EU-funded Marie Skłodowska-Curie Actions
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the control of the University of Victoria. You may wish to review the privacy statement on https://academicjobsonline.org . If you do not wish to use this service, please submit your complete application
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-level courses in biomedical engineering, communications, computers, control, power, and electronics. The successful candidate will be committed to the academic success of all our students and to
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, design/art theory，mechanical engineering, electronic engineering, sensory control, digital simulation, artificial intelligence, 3D design, digital media, game design, virtual reality. Qualifications: Ph.D
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
consortium and work closely with three other PhD students, combining theory, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal