832 parallel-processing-bioinformatics uni jobs at Conservatorio di Musica "Santa Cecilia"
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Skip to main content Recruit Home Open Recruitments Temporary Assistant and Associate Researchers (Professional Research Series) for Electrical and Computer Engineering (JPF02873) Temporary Assistant
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the process of turning big genomic data into biomedical insights. The ideal person for this position is a keen listener who can interpret biological questions, assess the value and relevance of different
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cell RNA and cell free RNA sequencing experiments Analyze the collected data using highly sophisticated bioinformatics tool *- Other duties may also be assigned DESIRED QUALIFICATIONS: A Bachelor of
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related to area of specialization; analyze data, monitor and oversee experimental process, and design and develop prototypes, specialized equipment, and/or systems. * Collaborate with scientists, engineers
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species, exploring their biology, investigating the intricacies of infection processes and host-pathogen interactions, and characterizing in vitro and in vivo biofilm formation. The scientist will be
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for widespread recognition of scientific contributions. We value a diversity of values, backgrounds, and approaches to solving problems. The ideal candidate should have expertise in bioinformatics and
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Assistant/Associate Professor at the interface of chemistry, biology & medicine(computational focus)
programs that exist at the interface between molecular science and computation. Applicants are expected to have earned a Ph.D. degree in computer science, computational biology, bioinformatics, or a related
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, computational data analysis and other approaches. Proficiency in cell culture, microscopies, protein analysis including genotyping, Matlabs and other computational tools. Computer experience with bioinformatics
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with high-density electroencephalography (EEG), magnetic resonance imaging (MRI) acquisition, post-processing of neuroimaging data, administration of neuropsychological testing batteries, maintenance
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fixed paraffin embedded tissue, with subsequent library preparation and massively parallel sequencing (performed at a core facility). Sequencing data generated can be analyzed using existing software