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Field
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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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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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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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, 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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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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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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approaches - including molecular genetics, RNA sequencing, FACS, biochemistry, confocal imaging, and behavioral analyses - along with integrative -omics workflows. Applicants must be able to apply
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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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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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in interdisciplinary projects and collaborating with multidisciplinary teams, integrating knowledge from computer science, biology, and ecology; - Strong skills in the analysis and processing of image