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                24 Oct 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage 
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                research institutes participating to consortium with a unique combination of expertise in solid-state NMR and materials science (UCCS), in MRI of the brain and AI-enhanced image processing (LilNCog), in NMR 
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                often represented in large neural networks that are hard to analyze and whose decision processes cannot be interpreted by humans. To make this technology available without sacrificing safety concerns, we 
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                23 Sep 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage 
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                Commission (European Climate, Infrastructure and Environment Executive Agency) through Horizon Europe Programme, in the following conditions: RESEARCH FIELD: Civil Engineering or related fields. RECIPIENT 
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                21 Aug 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage 
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                : Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science 
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                Diseases (NIAID ) National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS ) National Institute of Biomedical Imaging and Bioengineering (NIBIB ) National Institute on Deafness and Other 
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                , medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens 
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                motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service