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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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, etc.). Experience presenting at high quality conferences (e.g., AAPM, MICCAI, ICCV, CVPR, etc.). Ability to build effective networks with colleagues through effective liaison with industry or hospital
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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logic, mathematical physics, numerical analysis, neural networks, representation theory, and topology, with potential interdisciplinary applications. About Baylor University: Baylor University is located
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and Community Trust for a Just and Effective Net Zero Transition , a two-year, multi-region, mixed-method study focused on the role of trust in Australia's decarbonisation efforts. The project
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analysing the outputs of hydrodynamical simulations of clusters of galaxies to trace the build-up of mass through the cosmic network as clusters grow by mergers or smooth accretion of matter along filaments
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
capacity among vulnerable communities. Many state and non-state actors have invested or are considering investing in forest carbon in Southeast Asia as part of achieving net zero. Despite this, relatively
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The Overdose Prevention Engagement Network (OPEN) at the University of Michigan is recruiting an outstanding early-career research investigator to join a multi-disciplinary team to conduct high-impact