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partition functions; we will look to develop these connections further to obtain new counting algorithms. We will also investigate connections to correlation decay in the corresponding statistical physics
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from relevant experts, to develop and evaluate Bayesian approaches for simultaneously accounting for multiple sources of uncertainty Main Responsibilities: Prepare and revise statistical analysis plans
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PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognised centre
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metabolism, epigenetics, bioinformatics, or CRISPR will be preferred. Candidates must have a PhD, MD, or MD/PhD degree, and be self-motivated. The candidate is expected to carry out projects independently with
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Experience: PhD in reproductive biology, cell and developmental biology, genetics, or similar field Molecular biology experience. Animal research Conducting statistical analyses. Preferred Education and
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experienced by people living with HIV (PLHIV). This position offers an opportunity to contribute to innovative, policy-relevant research at the intersection of epidemiology, social sciences, statistics, and
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with an interest in applying advanced methods to questions in neuropsychiatric research. The candidate must have: A PhD in neuroscience, neuroimaging, medicine, computational science, physics, statistics
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and contribute to hypothesis-driven experimental design. Prepare manuscripts and assist with grant applications. Present research findings at national and international scientific meetings. Mentor
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will: Develop and utilize human iPSC-derived cardiomyocyte models. Apply genome-editing technologies, including CRISPR-based methods. Perform mechanistic studies integrating electrophysiology and
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proposals, presenting research both on campus and at national/international conferences. Providing mentorship to graduate students and staff in the lab. Experience/Education Guidelines: Prospective candidates