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Field
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bioinformatics is preferred. Candidates with different profiles and a strong interest in developing interdisciplinary skills are encouraged to apply. We are committed to fostering an inclusive and supportive
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on epithelial barrier integrity, inflammation, and host transcriptional responses. The project offers interdisciplinary training in bioinformatics, advanced statistics and machine learning, anaerobic microbiology
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and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
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2026 Apply now Passionate about plant stress responses, molecular biology, and bioinformatics? Join our lab as PhD candidate and investigate why unique plant cells respond so differently to the same
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | about 7 hours ago
Candidates are expected to be interested in working at the boundaries of several research domains Master's degree in Computational Biology, Bioinformatics, Systems Biology, Bioengineering, Chemical Engineering
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, Applied Mathematics in Biology, or Bioinformatics. • Solid understanding of the basic concepts of evolutionary theory and population genetics. • Proven programming skills (SLiM or C++ highly desired
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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in high-throughput sequencing and/or single-cell sequencing techniques, bioinformatics, and large-scale sequencing data analysis (punctuation: 15) Item 05: Personal interview. The interview will be
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application. Qualifications and specific competences Applicants must hold a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field and
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biology and crosstalk with immune and cancer cells Aplication of state-of-the-art cell biology, molecular biology, and OMICs analyses Use of bioinformatic analyses and data integration Your skills: Master