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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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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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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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require expertise in bioinformatic analyses. You hold a relevant PhD (or working towards one). You need to possess high-level molecular/biochemical/cell biology practical skills, including ChIP, co
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the laboratory of Prof Laura Lehtovirta-Morley . The bioinformatic tools will be developed to analyse and correct these data types, the statistical workflows established to interpret and understand how
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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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and contribute to other activities in the group as needed (e.g. supervision of student projects). You will have a PhD in bioinformatics, computational biology, genomics or a related field. You should be
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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
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attenuated agents might take up 10-15 years of development. On the other hand, development of Machine Learning based Bioinformatics’ tools has made it possible to define vaccine candidates by in silico
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troubleshooting technical or scientific problems, and working collaboratively with the IMCM bioinformatics core group to overcome issues. It is essential that you hold a PhD/DPhil in a relevant subject area (e.g