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-solving person with a strong background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole
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of deep neural networks in the field of adaptive processing of graph data (Deep Graph Learning) . The developed novel approaches will be applied to case studies in bioinformatics Requirements Additional
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project on monitoring populations of Formica rufa ants. The research assistant will collaborate on the analysis of the genetic diversity of selected species, from sample collection to bioinformatic analysis
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genetic, genomic and bioinformatic skills are required to assess population structure and for phylogeographic analysis Requirements Additional Information Eligibility criteria Master Degree in Biology
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cancer and developing innovative biomarkers for early detection and patient stratification. ⸻ Required Qualifications • PhD in a relevant field (e.g., Molecular Biology, Genetics, Bioinformatics
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LevelPhD or equivalent Skills/Qualifications Requirements: PhD or MSc in a relevant field of interdisciplinary research (e.g. Bioinformatics or Computational Biology). R software development experience
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team, you will: Analyzing in-house produced NGS data (ChIP-seq, RNA-seq, Hi-C, HiChIP,Micro-C, RADICL-seq etc.) and integrating with publicly available datasets Engaging with our bioinformatic
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coupled with High-Resolution Mass Spectrometry (HPLC-HRMS/MS), typically Q-TOF or Orbitrap systems, and potentially Gas Chromatography-Mass Spectrometry (GC-MS). Advanced Data Processing and Bioinformatics
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Description The Italian Institute for Genomic Medicine (IIGM) is a leading research center dedicated to advancing precision medicine through cutting-edge genomics, bioinformatics, and translational research
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PhD or MSc in a relevant field of research (Bioinformatics or Computational Biology). Extensive experience in R or Python software development. Understanding of types and properties of mass spectrometry