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Apply now Job no:540754 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity: The School of Photovoltaic and Renewable Energy Engineering (SPREE) has
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | 2 months ago
# Collaborating in the maintenance and development of the XES and XRD stations (you will work in close collaboration with scientists and engineers at ROBL) # Collaborating with support groups at ESRF, including
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, machine learning or related areas. Faculty of Science & Engineering Department of Electronics & Computer Engineering Contract Type: Specific Purpose Salary Scale: €55,399 - €60,250 p.a. pro rata University
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learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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23 Jul 2026 Job Information Organisation/Company University of Aveiro Department SGRH Research Field Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions
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Details Title Postdoctoral position in AI for Engineering Applications School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description
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Rounds, journal article discussions, and training in cognitive and neuroimaging research. The fellow will gain experience in mentorship and grant-writing to transition the fellow into an independent
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are united in our efforts to understand, explain and improve our world and the human condition. The Division of Food and Pharma conducts research both within food science and pharmaceutical technology
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration