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, selected correlation scenarios will be tested experimentally at the bench scale, with synthesis of CDs and physico-chemical characterization, in order to close the loop between text mining, statistical
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interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
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, or equivalent). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields
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undergraduates. Postdocs benefit from strong interactions with experts in applied mathematics, computer science, device physics, materials science, and statistics, as well as access to world-leading supercomputing
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understanding of statistics and familiarity across multiple biological fields of study. Exceptional organizational skills with strong attention to detail in data management, record keeping, and laboratory
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sections to determine how much biotin-protein remains in the brain following intraparenchymal injections. They will be responsible for statistical analysis and for presenting results with representative
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability
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slide scanner imaging. Data analysis Applies complex statistical analysis tools to data acquired from electrophysiology and imaging. Interprets differences in data, and designs follow-up experiments
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About the Role We are looking for a motivated and collegial Postdoctoral Research Associate (PDRA) in Genomic Data Science to join the expanding Statistical Genomics team of Dr Valentina Cipriani