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for extinction risk prediction Qualifications We are looking for a candidate who has: As a formal qualification, you must hold a PhD degree (or equivalent) in bioinformatics, computational biology, evolutionary
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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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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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experimental protocols Data analysis Manuscript writing Mentoring BSc/MSc students Your profile Your experience and profile: A PhD degree in behavioral ecology, animal behavior or a related field Experience with
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students Your profile Your experience and profile: A PhD degree in behavioral ecology, animal behavior or a related field Experience with academic publishing Experience conductive behavioral research with
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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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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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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