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recruited candidate will contribute their expertise to the initial training of engineering students and master's students by teaching in the following areas: • Bioinformatics, • Machine learning and pattern
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as soon as possible (fixed-term, 5 years). A nationally and internationally established scientist from the fields of medical informatics, bioinformatics, computer science, computational life sciences
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/re search
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
: Advanced degree (PhD) in statistics or bioinformatics relevant field. Experience with analysis in R. Essential Skills: Degree in statistics or bioinformatics relevant field. Three or more years of analysis
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
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to major health challenges. Candidate profile We seek highly motivated researchers with a background in life sciences, computational biology, bioinformatics, or related fields. A strong interest in
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transcriptomics, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and
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approaches.developing Research Environment The host laboratory operates within a multidisciplinary environment integrating Laboratory Medicine, Internal Medicine, Bioinformatics, Medical Statistics, and Pharmacology