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Field
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, including breast cancer, the genetics of autoimmune, neurological, cardiovascular and psychiatric disorders, epigenetics causes of disease, as well as groups focusing on bioinformatics. Oslo University
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laboratories in CIBS. Additional duties as assigned. Knowledge, Skills, and Abilities: Deep understanding of data science, AI/ML, and bioinformatics applications in biomedical research. Experience working with
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qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
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in genome-wide computational experiments. We are part of the Center for Medical Genomics and the Center for Computational Biology and Bioinformatic s. We have strong links to Penn State College
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic, proteomic, and metabolomic
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biopesticide development and targeted antimicrobial delivery. The team is interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications A Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field. Strong background