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Field
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funding, and publish in top-tier journals while benefiting from the lab’s expertise and resources. Requirements PhD in Biomedical Sciences, Bioinformatics, Stem Cell Biology, Epigenetics, Computational
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integration. Specific Requirements Required profile: - PhD in genomics, molecular biology, bioinformatics or related field. - Strong experience in NGS analyses (WES, RNA-seq). - Bioinformatics skills (R, Python
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transcriptomics, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry
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collaboration with PIs Disseminate findings through publications and conferences, as relevant to research Ideally you will demonstrate: PhD in Computer Science, Bioinformatics, Statistics, or Genomics Experience
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
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. - Preparation of manuscripts and presentation of results at international conferences. Required profile: - PhD in genomics, bioinformatics, computational biology, molecular oncology, or related field. - Strong
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=27582 Postdoc - Molecular Biology Research in MLLr acute leukemia (f/m/d) Stellenanzeige merken
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obtained within the last 5 years PhD in Medicine, Biomedicine, Bioinformatics, Biotechnology, Genetics, Biology, Pharmacy or related field The selected candidate must demonstrate, or commit to acquiring
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data