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computational and bioinformatics analyses of immunogenomics data, contribute to cutting-edge research in precision medicine for autoimmunity, and participate in industry collaborations. Project Focus: Develop
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. QUALIFICATIONS: - PhD in bioinformatics, biotechnology, computer science, statistics, physics, or similar - Excellent scientific thinking and communication, high level of motivation and drive - Programming skills
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researcher will collaborate closely with the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and
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, vascular biology, or nitric oxide signaling. Experience with laboratory mice, including handling, procedures, and tissue collection. Familiarity with sequencing technologies and bioinformatics is a plus
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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physiology. It is equipped with high-end technology platforms staffed for plant production, DNA sequencing and digital qPCR, bioinformatics, proteomics, microscopy, protein production and metabolomics
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developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art
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possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with
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. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
shared resources, including the following: An integrated support structure for brain organoids In vivo and ex vivo cellular imaging platforms Bioinformatics support Production of genetically engineered