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staining) Bioinformatics experience relating to handling large datasets, such as next generation sequencing, and the use of programming languages such as R Attributes and Behaviour Essential Willingness
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applying must have a PhD degree in biomedicine, molecular medicine, molecular biology, gene technology, immunology, stem cell biology or a related discipline. Expertise in experimental haematology
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research Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours
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outcomes, and publishing. The ideal candidate will have a PhD in microbiology, biochemistry, molecular biology, or a related field, and have demonstrated research productivity. The lab is committed
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experiments. Participate in weekly laboratory meetings. Attend departmental seminars and events. Qualifications Required Qualifications: • PhD in Biological Chemistry or Biological Engineering Discipline
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, data analysis, and bioinformatics, and a good track of publication records in related areas to conduct basic and translational cancer research in the Dr. Jeremy Rich’s laboratory for brain tumor studies
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genetics, bioinformatics, molecular biology, and animal models to understand the factors that contribute to the onset and progression of osteoarthritis. The Jurynec Lab has identified over 100 candidate gene
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. Position qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic
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the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and necroptotic pathways have evolved across species