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biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health data from pathogen
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses
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molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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Genetics (GMG) initiative in collaboration with the Global Methane Hub and the Bezos Earth Fund. The global program with more than 50 partners across 25 countries aims to accelerate genetic progress in
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Evolutionary Bias Database for Nucleic Acid Structures (NA3D4U) Built with Help of AI Development and integration of microbial biomass database with AI supported collection and validation of data Genetic-Code
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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period of 12 months, possibly renewable up to a maximum of 36 months, scheduled to start on March 2026. 2. WORK PLAN AND WORKPLACE: The project will investigate the developed algorithms and methods
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literacy algorithm to be integrated into an API for health platforms, as well as contributing to the design and testing of the virtual library and associated educational materials. The grant holder will also
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candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame factorization methods