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Microbiomes Institute — University of South Florida | Tampa, Florida | United States | about 9 hours ago
field. We are particularly interested in candidates with a strong background in gut microbiome research, including bacterial culture, microbial genetics, and/or CRISPR-based editing. Candidates with
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algorithms for automated driving. You could also develop your own research portfolio by supervising MSc individual research projects aligned with the Centre’s research themes. You will be expected
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and neuroimmune regulation in autoimmune and cardiometabolic disease. The lab integrates human genetics, single-cell multi-omics, computational biology, and experimental immunobiology to understand how
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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novel algorithms and methodologies for defect detection, classification, and failure analysis. c. Supervise and mentor junior researchers and graduate students in related research activities. 2. System
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language models, multimodal generative AI, and related areas. Develop algorithms, architectures, and training methods for world models, LLMs, and multimodal AI systems. Design methods for prediction
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of detailed protocols including operational definitions, data dictionaries and ICD/CPT codes used for algorithms; will be responsible for making statistical analyses code publicly available on GitHub ensuring
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resistance phenotypes, genetic determinants, and gene transfer. Candidates with bioinformatics expertise are particularly encouraged to apply. Key Responsibilities: Conduct molecular microbiology and
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate