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). Knowledge and familiarity of analytical techniques necessary for structural using GC/LC-MS analysis. Experience in molecular biology techniques: PCR, RT-PCR and Biochemistry methods such as colorimetric and
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. Contribute to the design and execution of testing systems. Collaboration and Knowledge Sharing: Work closely with interdisciplinary teams to achieve project goals. Support the team in drafting publications and
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Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing
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health applications. IoT Knowledge: In-depth understanding of Internet of Things (IoT) technologies for collecting data on environmental and health parameters (air quality, noise, mobility). GIS
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-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and analyzing urban data (traffic, energy consumption, environment). Strong skills in integrating IoT
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-depth knowledge of the political and institutional frameworks affecting territorial equity. Ability to assess the impact of existing public policies on territorial inequalities and propose data-driven
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into urban development and sustainability policies. Publish research findings in high-impact journals, present at conferences, and engage in knowledge dissemination to policymakers and communities. Required
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, sorting, recycling, recovery, and disposal processes and infrastructures. Specific Waste Streams: Knowledge of specific waste streams (organic, electronic, hazardous, etc.). IoT Technologies: Experience
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, PyTorch, Scikit-learn). Knowledge of metabolomics data analysis, including LC-MS, NMR data preprocessing, normalization, and feature extraction. Familiarity with multi-omics data integration, biomarker