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Department of Microbiology of the Faculty of Agriculture and Forestry invites applications for a POSTDOCTORAL OR DOCTORAL RESEARCHER IN MICROBIOME BIOINFORMATICS starting from October 2025, or as
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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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professor at Department of Molecular Medicine, Iben Lyskjær Heimann. Your competences You have academic qualifications at PhD level, for example within the following areas: bioinformatics, cancer research
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PhD in molecular biology, biochemistry, bioinformatics, genetics, proteomics, or related fields - Strong analytical and problem-solving skills - Excellent publication record in peer-reviewed
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infection on these behaviours. Candidates should have, or be about to obtain (thesis submitted), a PhD in Developmental Neuroscience . They should have strong experience in human developmental neuroscience
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phytohormones crosstalk and stress signaling pathways in barley”, NCN, OPUS28 No. 2024/55/B/NZ9/00579 Required Qualifications PhD in bioinformatics, plant biotechnology, molecular biology, or a related field
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Researcher should have a PhD or a master’s degree in microbiology, computer science, or bioinformatics (or a related field). Prior experience in R and coding is expected. Experience in analysing high
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
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live in. Your role Conduct research related to the topics of the Signal Transduction Laboratory Participation in teaching activities at Bachelor and Master level (Co-) Supervision of master and PhD
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis