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Field
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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lead data analysis and algorithm development designed to determine the underlying factors contributing to health and disease, with a strong focus on discovering disease mechanisms at the level of
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. in genetics, cancer biology, computational biology, bioinformatics, computer science, systems biology, or a related field with relevant experience. Candidates from quantitative disciplines, including
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. Broad knowledge of statistical, mathematical analysis, computer algorithm, programming, and database theory and methods. Knowledge of molecular biology preferred. Experience using UNIX/LINUX and high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
subfields of foundational training, Sociocultural Anthropology, Human Biology, Ecology and Evolution; and Archaeology one cross-disciplinary program in Medical Anthropology and a concentration focused on Race
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concepts underlying the GIG into efficient data structures and algorithms. Your work will also involve developing algorithms to manipulate and analyse GIGs, creating efficient methods for translating GIGs
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Job Description Apply now Job Title: Postdoctoral Associate - Cancer Bioinformatics, Biostatistics, and Multi-Omics Division: Molecular and Cell Biology Work Arrangement: Onsite only Location
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languages such as Python, MATLAB, or C/C++, with the ability to develop custom scripts and algorithms control systems and modeling. Excellent communication skills, both verbal and written, with the ability
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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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. The Core Manager is expected to possess advanced molecular biology expertise and substantial hands‑on experience, enabling reliable production of these research resources. https://ircn.jp/en * details