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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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: Genomics / Bioinformatics , Population Plant Pathology Plant Science microbial ecology Appl Deadline: 2026/05/02 04:59 AM UnitedKingdomTime (posted 2026/01/27 05:00 AM UnitedKingdomTime, listed until 2026
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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
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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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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- Plant Bioinformatics and Systems Genomics Department of Biochemistry & Molecular Biology University of Nevada, Reno (UNR). The University of Nevada, Reno (UNR) invites applications for a Postdoctoral
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assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, functional proteomics, and AI-driven bioinformatics tool development, with the overarching goal of advancing cancer treatment through data-driven translational research. Our work bridges data science and