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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
/01 11:59PM (posted 2025/08/21, listed until 2025/12/01) Position Description: Apply Position Description MIT Multi-agent AI Postdoctoral Fellowship Program Recent years have seen a surge of interest
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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical
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for coordinating the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing
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digital scholarship activities. Provide liaison services for multiple Digital Scholarship-related campus programs. Research and Professional Development (10%) Participate in ongoing learning and
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Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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anxiety, depression, OCD and PTSD, as well as for people managing chronic health conditions including pain, diabetes, epilepsy, multiple sclerosis, and heart disease. Participants access these programs via
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. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It is essential that applicants have excellent
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, if applicable. Enrolment in a non-degree course developed in association or cooperation between a High Education Institution and one or multiple R&D units. Work plan: The CaSuLO project prioritizes
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and