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insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Southeast@orau.org
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Deadline 9 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Adaptation who has: a PhD in a relevant field such as Management, Organization Studies, Urban Studies, Social Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record
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, and enrolled in a doctoral programme in Health Sciences or enrolled/attending a non-degree course taught by a higher education institution in conjunction with an R&D unit in the field of Health Sciences
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applications for a position of Research Fellow for a newly funded Research Ireland Research Professorship awarded to Prof. Sarah Gleeson in the School of Earth Sciences (UCD). The research programme is called
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28 Oct 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Country Portugal Application Deadline 26 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Yuan (yuanyua@bc.edu) and Prof. Donglai Wei (donglai.wei@bc.edu). Requirements Requirements Ph.D. in Computer Science, Computer Engineering, or a related field. Strong research background in multimodal
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record