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Engage in teaching and supervision as required Expectations of qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in
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researchers. Teaching and organising workshops for computational tools for ZooMS and palaeoproteomics. Essential Qualifications A PhD in Palaeoproteomics, Bioinformatics, Mass Spectrometry, or a related field
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regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field
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of Molecular Medicine. Your competences You have academic qualifications at PhD level, for example, in computational statistics, bioinformatics, data science, computer science, or similar areas. In addition
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mentoring students. Qualification requirements The ideal candidate has: A PhD in bioinformatics, computational biology, biostatistics or metabolomics Proven expertise in omics data analysis A history of high
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to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics
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work with nearby bioinformatics (in particular PhD students working both on the DIRM and other projects within the group) and experimental immunology colleagues. Qualifications As a formal qualification
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quantitative Mass Spectrometry-based proteomics methods for this project. The successful candidate will work closely with experts in bioinformatics and in cellular signalling to make informed decisions on data
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will work with nearby bioinformatics (in particular PhD students working both on the DIRM and other projects within the group) and experimental immunology colleagues. Qualifications As a formal
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. You can read more about the department here and about the faculty here . The project is based