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GMSI - Postdoctoral Researcher in AI & Geostatistics About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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to iteratively refine models and optimize experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data
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machine learning for molecular and material design; quantum computing for bioinformatics; quantum approaches for safe and sustainable molecular design; and benchmarking quantum simulations of materials
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-computational loop, using analysis results to guide the design of the next round of automated experiments (design of experiments, active learning). Ensure reproducibility and FAIR data practices: version
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and protein engineering methodologies to design novel combination immunotherapy and radiation treatments with the goal of enhancing clinical outcomes for patients diagnosed with metastatic cancer
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immune microenvironment. Experience in vivo cancer models that include animal handling, tumor studies, tissue collection, treatment studies, and experimental design. Experience in cancer biology, with
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tabular foundation models or foundation models for structured data is particularly relevant. A strong understanding of modern deep-learning architectures and training strategies, and experience designing
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, including attention, risk assessment, learning and behavior change, and emerging technologies. Related applications may include novice and neurodivergent drivers, older adults, school-zone and community
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integrates large-scale human genetics with molecular and clinical data to generate testable hypotheses that accelerate biological discovery and therapeutic innovation. We are recruiting an ambitious Postdoc in