PRR Project

Summary

An Assistant Researcher in Computational Microbiology, acting in the intersection of computer science and microbiology, dedicated to leveraging computational methodologies for groundbreaking advancements in microbial research. The Assistant Researcher in Computational Microbiology will lead and contribute to cutting-edge projects that harness computational tools and techniques to unravel the complexities of microbial systems. This position, aligned with the CBQF mission of providing innovative and relevant knowledge underpinning biotechnology contributions in health and well-being and sustainable agri-food systems, offers an opportunity to bridge computer science and microbiology, driving transformative advancements in the field of environmental microbiology. Integrating teams with expertise in microbiology, the Assistant Researcher will be expected to contribute to generate new knowledge through the exploitation of algorithms and computational models for the analysis of microbial genomic and metagenomic data, big data analytics to process and interpret large-scale datasets, to apply machine learning techniques to predict microbial behaviors, interactions, and evolution based on genomic and environmental data, to integrate computational approaches with systems biology to understand the dynamic interactions within microbial ecosystems or to conduct network analysis to elucidate the intricate relationships among microorganisms, identifying key players in microbial communities. The Assistant Researcher is expected to collaborate with microbiologists, bioinformaticians, and computer scientists to develop innovative solutions for complex biological questions. Besides the integration and dynamization of fundamental research, it is expected an active collaboration with key stakeholders, aiming the transfer of the new knowledge into practical applications. Mentoring junior researchers, attract competitive funding and contribute to the overall academic and research excellence of the organization are also part of the commitments expected for this position. Overall, these objectives meet the CBQF goals of being an international flagship biotechnology research centre and represent cutting edge knowledge areas in the field of microbiology and microbiome studies.Scientific profile:PhD in Computational Biology, Computer Science, or a related field.Expertise in Bioinformatics: Proficiency in bioinformatic tools and methodologies for the analysis of microbial genomic and metagenomic data.Machine Learning Experience: Strong background in applying machine learning techniques to biological datasets, with a focus on microbial systems.Programming Skills: Proficient in programming languages such as Python, R, or Java, with the ability to develop and implement computational algorithms.Systems Biology Knowledge: Understanding of systems biology principles and their integration with computational approaches.Interdisciplinary Collaboration: Ability to collaborate effectively with researchers from diverse backgrounds to solve complex biological problems.Excellent communication skills, with the ability to convey complex scientific concepts to both scientific and non-scientific audiences.