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Field
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resulting from this researc.h Who You Are: Ph.D. in Computational Biology, Bioinformatics, Human Genetics, Biostatistics, Computer Science or related field. Demonstrated proficiency with R or Python
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, insect identification, etc. Candidate should possess basic molecular taxonomy skills, such as DNA extraction, PCR, running gels, bioinformatics, etc. Candidate must be organized and meticulous to curate
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expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills
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the opportunity to expand their skills in bioinformatic analyses. The project will focus on the identification of plant genes that can be linked to the host’s microbial community structure and function
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molecular and functional assays on cell lines, primary cells and iPSC-derived cells. Work closely with NGS and bioinformatics scientists to process genomic samples, analyze screening results, and generate
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, covering areas from neuroscience and biochemistry to zoology and bioinformatics. Our neuroscience research spans multiple levels—from genes and molecules to behaviour and cognition. Visit the School of Life
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bioinformatics pipelines for the routine analysis of amplicon and long-read DNA sequences obtained by Nanopore sequencing Analysis of metagenomic and amplicon sequencing DNA data. Writing and publication
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edge molecular biology (sequencing and epigenetics) and bioinformatics. As a research focused academic at Level A, you will be supported and guided by more senior academic research staff with
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Computational Biology, Bioinformatics, Computer Science or Machine Learning related field Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer
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to collaborate as part of a team AI in Life Sciences Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational