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. Description of the position: Run research activities in animal food technology (meat and milk) derived from different animal species (camels, goats, sheep, …) in the Southern part of Morocco. Assist in
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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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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and compare material intralogistics handling alternatives—such as in-pit crushing & conveying, trolley-assist systems, and battery-electric trucks—in strip mining operations. This research is part of
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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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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and
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formulation. Proficiency in the use of software and databases and statistical analysis. Publish in well-ranked and high-impact journals in the field. Supervise and mentor graduate students. Strong French and
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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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between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between