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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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to creating and communicating knowledge and opportunities to ensure that all our students can excel within their chosen discipline. The School of Computer Science and Mathematics is dedicated
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, mathematical modelling, social or behavioural science, choice modelling, or health services research). Applications from researchers with experience of health economic modelling and preference elicitation
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mathematical models to address fundamental questions in biology. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep
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modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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. More information is available at the Department of Mathematical Sciences' website: https://www.utep.edu/science/math/ . Job Description: The Department of Mathematical Sciences at The University of Texas
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quantitative methods. Project topics may include statistical modeling, machine learning, optimization, data analysis, mathematical modeling, AI-related applications, financial modeling, healthcare analytics
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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
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missions, such as ICESat-2, may be investigated as a subsequent extension. Candidates should have a strong background in data assimilation, applied mathematics, sea ice modeling, or a related field