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Field
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language and familiarity with machine learning libraries (e.g., PyTorch). Experience in structural Bioinformatics, including the ability to manipulate protein sequences and structural data. Collaborative
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(or related viruses) and/or reverse genetics systems Performing and analysing nanopore-based sequencing Experience in both performing and the bioinformatic analyses of datasets from genetics/transcriptomics
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for some bioinformatic/ computational analysis but this is primarily a laboratory-based post. The laboratory is well equipped for this work and for testing the function of assembled DNA molecules
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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Biology, Bioinformatics, Genomics, Data Science, Biostatistics, or a related field. They should have experience analysing high-throughput sequencing data, particularly whole-genome sequencing, methylation
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NGS. · Proven track record in a relevant subject (e.g. Bioinformatics/Computational biology/Computer Sciences/Human Genomics/Statistical Genetics) · Excellent communication and interpersonal skills
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of working with industrial partners F4. Experience in supervising student laboratory projects F5. Skills in using bioinformatics tools Any further enquiries on this post may be directed to Professor Anna
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be ideally be proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and
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bioinformatic expertise. The tenure-track professorship is also embedded in the PI panel of the Vienna Doctoral School PhaNuSpo, comprising pharmaceutical, nutritional and sport sciences. https
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translational datasets across seven interconnected work packages. The post holder will work under the leadership of Programme Lead, Dr Sheeba Irshad, and in close collaboration with bioinformatics teams