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. The successful applicant will have an opportunity to work with multiple groups with expertise spanning scientific disciplines and approaches, including oncology, single-cell biology, spatial transcriptomics, high
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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical
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of single sedimentary particles for downstream DNA extraction, sequencing, and potentially cultivation. Assistance with the establishment of Oxford Nanopore DNA sequencing technology and implementation of a
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neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat, Bioconductor
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a view to shaping the planned empirical work related to abortion care and epistemic injustice. This project will also need to align with the Medicine without Doctors wider vision, including a focus on
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a focus on emerging threats, adversarial resilience, and trustworthy autonomous decision-making. Design and implement novel research methodologies to advance the security, reliability, and alignment
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national and international impact. We are seeking motivated and experienced Postdoctoral Research Fellows B to undertake fundamental machine learning research for projects aligned to one of more of the
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sciences (e.g., anthropology, economics, demography, psychology, political science, sociology, etc.), the emerging field of computational social sciences/social data science, and applied disciplines aligned
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capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data would be an advantage Ability
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collaborate extensively with national and international consortia. Projects include genome-wide associations and whole exome/genome sequencing studies. The successful candidate will have the opportunity to work