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and University Hospital offer excellent opportunities for clinical translation of novel immune cell products. The Algorithmic Bioinformatics research group at LIT is looking for a talented PhD student
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analysing effects of environmental drivers on cyanobacteria-associated microbial community composition Applying bioinformatic analyses of amplicon, shotgun and long-read metagenomic data Quantifying absolute
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in South America and the Caribbean, fossil description, alpha taxonomy, phylogenomics, historical biogeography, and bioinformatics. The research associate will have the opportunity to work towards a
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biosynthetic pathway through testing of labelled and un-labelled phenylpropanoid pathway intermediates for single reaction analysis Bioinformatic search for possible candidate genes/metabolites
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basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food ingredients. The working group
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Biology or related field Demonstrated experience in experimental work Experience with molecular/genomic techniques would be advantageous Strong statistical or bioinformatic skills Collaborative team player
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basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food ingredients. The working group
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approaches. Publish results in high-impact journals. Your qualifications and skills: You hold a Master's degree (or equivalent) in mathematics, statistics, biostatistics, bioinformatics, plant breeding