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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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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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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
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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
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eligible for this position. Bioinformatics experience is preferred but not required . International scholars and members of underrepresented groups are encouraged to apply. PhD candidates who submitted
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings