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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High
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conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating universitywide, RBHS includes eight schools, a behavioral health network, and
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position of 1.0 FTE for 30 months or 0.8 FTE for 37 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research
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minoritised groups (including refugees and people seeking asylum) to understand how community networks and social practices promote mental health in hostile contexts. You will also collaborate closely with
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, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see https://www.helsinki.fi
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real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic
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analytical and problem-solving skills. Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. The net
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
loss patterns across diverse plant lineages Explore graph-based algorithms for multiple genome alignment and ancestral karyotype reconstruction Position 2: Evolutionary Analysis and Network