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Field
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, metabolomics, and precision health YOUR PROFILE Completed university degree (Master’s or equivalent) in a scientific or technical field such as Physics, Biotechnology, Bioinformatics, Mathematics, Statistics
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Experience with FACS, immune cell culture, molecular biology techniques and bioinformatics is advantageous Strong communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD
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bioinformatics skills and resources, this project aims to characterize the potential and value of priming kelp immunity to enhance resistance to bio-fouling and pathogens, and to characterize a mechanistic
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, which will develop a novel form of phage therapy. The successful applicant will have a strong background in microbiology and infection biology. Experience in bioinformatics as well as working with BSL2
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
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with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical and problem
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this project, we will use genome mining (bioinformatics) methods to identify previously uncharacterised dehalogenases. AI-based tools will help predict the structure, activity, and substrate scope of these new
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spectral flow cytometry, as well as presentation and scientific writing skills. The opportunity to develop skills in multi-dimensional data analysis with support from our bioinformatics colleagues is also
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, neuroscience, molecular biology, or related disciplines FELASA certification Ideally, prior experience in bioinformatics and computational biology Strong interest in immune-brain interactions and food allergy
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, enthusiastic, critical, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research ànd be open to acquire novel skills in bioinformatics