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of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and
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the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within
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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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Supervision and mentorship of PhD and medical students, fostering their development and guiding them in their research projects Our requirements A PhD in biology, biochemistry, bioinformatics, or a related
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Physiology. Your qualities You have a PhD degree in a relevant field, preferably on the edge of Bioinformatics and Plant Biology. You have affinity with mathematics/modelling and bioinformatics, but are also
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computational and statistical methods, with demonstrated experience in reproducible and scalable bioinformatics environments. The applicant will work in close collaboration with other Engblom lab team members who
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of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be
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methods. This work will mainly be conducted in Lincolnshire and require travelling to field sites across the County. What we’re looking for PhD in a relevant field (e.g., field and community ecology
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and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
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following basic requirements: - Hold a PhD degree in plant biology with a focus on plant breeding, quantitative genetics, population genetics, bioinformatics or similar - Ability to carry out and complete