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for data science (Python, R, SQL, PostGIS, GeoPandas, etc.). Knowledge of urban models and spatial analysis tools (urban growth models, accessibility, change detection, etc.). Ability to work with
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil
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plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project team. Identification of the isolated strains using 16s RNA and ITS Conduct the whole
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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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materials. Its work is oriented towards applied research and innovation to meet market needs. Description of the position: This position aims to tackle corrosion and wear-related problems faced by our client
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bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function prediction, antibiotic resistance analysis, and evolutionary studies. Analyze and interpret
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researcher to join our research team on urban economics and finance. The successful candidate will work on interdisciplinary projects aimed at understanding and improving the economic and financial aspects
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, including the analysis of public policies, stakeholder dynamics, and urban strategies. Interdisciplinary Collaboration: Work closely with experts in political science, urban planning, urban sociology, and
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for the design, analysis, and optimization of energy networks in urban environments. We are seeking a dynamic and motivated specialist to join our research team on urban energy networks management. The selected