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Computer-Assisted Laser Microsurgery,” IEEE Transactions on Medical Robotics and Bionics, https://doi.org/10.1109/TMRB.2024.3468385 , 6(4), pp. 1423-1435, November 2024 ESSENTIAL REQUIREMENTS PhD degree in
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PhD (or will have a PhD awarded by the time of the postdoctoral position start date) in a relevant field such as neuroscience, computational neuroscience, cognitive science, NeuroAI. or similar
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the
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’ Academy – Educational Robotics for STEM Skills, Arts and Humanities, Computational Thinking, Creativity, Emotional Intelligence, and Inclusion in Preschool and Early Primary Education, with reference
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statistical and econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 17 hours ago
: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Management and Organizations Sociology / Computational Social Science
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ANR SyncoGest project
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detection of comorbidity and multimorbidity patterns, https://aristoteles-horizon.eu / ) developing novel artificial intelligence (AI) powered tools to assess and manage multimorbidity in patients with atrial
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment