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Medical Oncology Our laboratory team is seeking a highly motivated individual to contribute to cutting-edge cancer research by performing advanced data analysis, biostatistics, bioinformatics, and machine
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comprised of more than strain or species of the parasite as different parasite lines circulate among livestock herds and in game animals in the same geographical region. In experimental infections our
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. The research group, led by Professor Thoas Fioretos , consists of about ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems
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per academic year. Tenure-track faculty normally teach 2 different courses with each section consisting typically of 22-28 students. Faculty is required to conduct research, provide high quality
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Primary Supervisor: Dr Jose De Vega Scientific Background: Interspecific hybridisation is a common mechanism of diversification in plants, unlike in animals, largely because plants can overcome
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, such as enhanced tolerance to drought and salinity. In the face of rapid environmental change, understanding how different organisms respond to shifting conditions is more important than ever. Despite
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of nanoparticle formulations. Interpret data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate mating and
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established Laboratory of AI Genome Informatics (AI GENi) pursues cutting-edge bioinformatics research under the vision of “unveiling the mysteries of life through the power of AI”. We are seeking a talented
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for data acquisition and apply bioinformatics tools to create novel analytical pipelines for analysis of multidimensional data sets. The project will involve (but not be limited to) applying