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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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/ ). The successful candidate will develop web pages and front-ends to showcase new drug discovery tools and databases used to train innovative machine learning models. This is an outstanding opportunity
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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computing, statistics, machine learning, programming in R/phyton, network biology, network analytics, small RNAseq, methylation, RNA-seq, DNA-seq. LanguagesENGLISHLevelExcellent Research FieldBiological
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@tufts.edu . Applicants can learn more about requesting reasonable accommodations at https://oeo.tufts.edu/ Create a Job Match for Similar Jobs About Tufts University Tufts is a leader in American higher
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messages, return emails or other forms of correspondence, communicated with students and other staff members. Minimum Qualifications: Ability to learn and perform assigned work; follow oral instructions
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fabrication and materials research. They function to give students an intimidation-free and safe learning environment, equipped with modern technologies in support of the curriculum, with which they can
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. Ability to learn and apply complex policies quickly, including admissions, financial aid, and military education procedures. Demonstrated ability to build positive professional relationships with diverse
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice