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Integration & Word LearningThis PhD project investigates how attention to multimodal signals contributes to word acquisition. You will analyse: word-learning trajectories across repeated exposures; the role
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engineering Computer science -> Cybernetics Positions: PhD postion Type of contract: Temporary Job status: Full-time Hours per week: 40 How to apply: https://www.fei.vsb.cz/en/applicant/doctoral-study/ Select
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supervision at the BA, MA, and PhD levels within the educational sciences study programs, with a primary focus on the specialization «Social Pedagogy and Socialization». In addition, the appointee is expected
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
students, and contribute to high-impact publications and grant proposals. The full job description is available, here: https://acrobat.adobe.com/id/urn:aaid:sc:us:0fa4c365-ce1d-4b4f-8bc1-e0c3bb9b8901
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efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/299007/phd-candidate
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universities. UB is consistently recognized as one of the world’s most exceptional, most affordable universities. Visit our website, https://buffalo.edu, to learn more about the University at Buffalo. University
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20 Mar 2026 Job Information Organisation/Company Université de Caen Normandie Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Profile We are looking for candidates who meet the following criteria: PhD in relevant fields: plant sciences, functional genomics, molecular & applied genetics, bioinformatics, artificial intelligence
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computational statistics. We are looking for a promising early-career researcher who can advance research in statistics with a focus on data science and teach the next generation of students. As an associate
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual