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Field
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the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve
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] Subject Area: Statistics and Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/04, listed until 2026/02/01) Position Description: Apply Position Description The Department of Mathematics
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with bladder physiology, histology and immunology. Experience with animal models of bladder infection. Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management
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(cytoplasmic hitchhiking), applying mitophylogenomics within a robust statistical framework. Second, she/he will assess the effects of these symbionts on nuclear genetic differentiation among tick populations
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is available in the laboratory of Dr. Terry O Matsunaga, Pharm.D, PhD in the Department of Neurosurgery and Biomedical Engineering at the University of Arizona (Tucson, AZ). The successful candidate
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interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science, Computer Science, Computational Social Science, Information
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve
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Boston University, Mathematics and Statistics Position ID: BUMA-PDNEURO [#26858] Position Title: Position Type: Postdoctoral Position Location: Boston, Massachusetts 02215, United States of America
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Skills/Qualifications -Phd in Psychology, Public Health, or a related field : A completed PhD in a relevant field, with a focus on behavioral science, health promotion, or addiction prevention