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Field
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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed
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will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography (CT). In this role the successful candidate will
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
Posting Information Posting Details Department Radiology - Research - 412802 Posting Open Date 07/21/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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conferences and journals As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills