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and reproductive neuroscience. Postdocs will design and lead their own experimental programs while contributing to the collaborative life of the lab. Each position is structured to move the trainee
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of the cultural meanings of the timing of reproduction, generating new medical evidence, challenging legal frameworks and learning from activist histories, ‘Contragestive Time' will lay the foundations for the next
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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research
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, including opportunities to develop new scientific directions, design and execute experiments, analyze and interpret data, prepare manuscripts, present research, and contribute to collaborations within
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, supervised and unsupervised machine learning, and complex data fusion; proficiency in parametric and non-parametric statistical methods, bootstrapping simulation techniques, and experimental design; advanced
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% of the time will be spent on the following tasks - Design and conduct experiments using compartmented systems to study interactions among mycorrhizal fungi, bacteria, and host plants. - Collect and analyze
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Job Type Staff Job Description TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from 47
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-year Postdoctoral Research Associate (PDRA) for the Leverhulme Trust-funded project "Literacy in the Digital Age," led by Dr Yaling Hsiao. Investigating how children aged 11–14 learn across print and
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Research Council. The successful candidate should have research experience in catalysis engineering and reactor system design. They will have excellent oral and written communication skills and ability