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background in gene regulation and 3D chromatin organization in glioblastoma, epigenetics, bioinformatics, and basic cancer biology. We are now looking for an enthusiastic and motivated postdoctoral fellow to
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programme Reference Number AE2025-0555 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0555
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of deep neural networks in the field of adaptive processing of graph data (Deep Graph Learning) . The developed novel approaches will be applied to case studies in bioinformatics Requirements Additional
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, flow cytometry, proteomics, multiplex immunofluorescence, and spatial transcriptomics. The results are analyzed using bioinformatic methods. Eligibility To be eligible for appointment as a postdoc, the
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analysis of single cell multi-omics data. The researcher will have the support and resources from the Bioinformatics Unit at VHIO. Responsibilities Analyze and integrate high-throughput sequencing data
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bioinformatics, computational biology, and/or clinical informatics with demonstrated research excellence in computational, quantitative, or bioinformatics methodology, and exceptional administrative and
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of Non-Discrimination here which includes contact information. Basic Qualifications Qualifications The postdoctoral fellow position requires a PhD in bioinformatics, computational biology, or a closely
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have some familiarity with bioinformatics and a degree in evolutionary biology or related discipline. References Elmer KR (2016) Genomic tools for new insights to variation, adaptation, and evolution in
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: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual
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bioinformatic analyses. - Analysis of infected human tissue: flow cytometry, immunofluorescence. - Cell biology: Dissociation of human skin tissue, maintenance of primary cells in culture and management