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of trustworthy machine learning to clarify when unsupervised analyses, particularly clustering, can be meaningfully trusted to reflect properties of the underlying data-generating process. The central research
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limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology, or epidemiology. Applicants who will receive the doctoral diploma by May 31, 2026
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and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26
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translational applications. Job Description Assist PI in coordinating and leading multiple wet lab projects, proposing research directions and meeting key project milestones. Assist PI to facilitate research team
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: Prevention including multiple long-term conditions. Addressing inequity in health and care systems Supporting children, women, and family health Workforce Inclusion and Innovation for Impact Care Improvement
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, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and
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experimental systems — from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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. Applicants who progress through the selection process will be invited to interview for the position, either in person or via electronic means. Applicants are assessed by an assessment committee that ranks them
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studies for the oscillation analysis. You will be expected to make significant, leading contributions to software development and support across multiple experiments within the Lancaster Experimental
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a large research team to drive multiple research projects Key Competencies and Requirements: PhD in biostatistics, epidemiology, public health or related field. At least 0-2 years of relevant