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Field
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be determined by the funding available. About you You will hold or be near completion of a PhD/DPhil in Computational Biology, Bioinformatics, Genomics, or a closely related field, with significant
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qualifications at the time of hire. ● PhD (or equivalent) in Computational Biology / Bioinformatics, Biomedical Informatics, Computer Science, Statistics / Biostatistics, Applied Mathematics, or a closely
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phenotypic and transcriptomic data, bioinformatic and statistical analysis of data in a phylogenetic framework, mentoring of junior researchers, and manuscript preparation. The candidate will be responsible
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, interpreting and presenting the data, collaboratively interacting with the other members of Prof. Tiacci's group that have different, complementary expertises (including bioinformatics), as well as writing
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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-on-a-chip devices. Documented experience in biological mass spectrometry and MS-based proteomics. Good knowledge in bioinformatics, and analysis of MS-based proteomic data. Very good oral and written
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[at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills, including machine learning, e.g. demonstrable
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- and biomedical-relevant species. ●Pathogen and microbial genome resource analysis: Work towards providing infrastructure that supports bioinformatics of pathogens and microbial communities with the goal
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the following are required: • Excellence in structural biology • Excellence in programming and high-performance computing • Excellence in bioinformatics • Excellence in evolutionary theory Additionally
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of ice-control proteins for various application-specific endpoints. Depending on the qualifications of the candidate, research could include bioinformatic analyses for further identification