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Field
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: Topologically-Informed Large Language Models for Innovation Intelligence. The project is funded by FFplus, a EuroHPC Joint Undertaking initiative under the European Union's Digital Europe Programme, and brings
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compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%). •Investigate the genetic
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working with norovirus and rotavirus. • Experience working with infectious disease animal models, including performing inoculations, blood collection, clinical symptom monitoring, euthanasia, gross
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dehydroaromatization. The postdoctoral associate will play a central role in the processing, analysis, and interpretation of X-ray Absorption Spectroscopy (XAS) data collected on metal-modified zeolite catalysts under
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alongside guidance from senior research personnel. Key Responsibilities • Experimental Design: Develop and optimize behavioral and physiological paradigms targeting brain networks. • Data Collection: Conduct
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and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. The successful
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. For this project the postdoctoral scholar will be expected to coordinate data collection, organize a large collection of longitudinal data to ensure anonymity, conduct interviews, analyze qualitative and
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, providing international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral
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to new applications of machine learning and artificial intelligence to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty
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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant