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science, artificial intelligence, machine learning, computational social science, data science, or a related computational discipline. Applicants must have experience with digital trace/multimedia datasets and in
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or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly
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history that has taken place largely in Pakistan, and plan to return to Pakistan upon completion of the fellowship. The fellow may be invited to teach a Harvard class during the course of their appointment
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 16 hours ago
the characterization of safety profiles and the optimization of dosing strategies — in ways that complement or improve upon conventional development paradigms. Learning Objectives: As a participant, you will have
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interpretable machine learning framework that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenomic features, and three-dimensional (3D) genome organization
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– “A human-like progressive learning paradigm for embodied AI: Meta skills for robots by watching and imagination”. They will be required to: (a) identify irreducible low-level sensorimotor units
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, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, pleaseCLICK HERE . Please note: City of Hope is committed to a safe and transparent
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at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 16 hours ago
critical factors like drug dissolution, dose uniformity, and abuse potential. Learning Objectives: Through participation in this research project, you will: Develop expertise in advanced characterization
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Architecture: Architect, build, and evaluate multi-agent systems powered by LLMs and machine learning, incorporating Orchestrator and Memory agents, vector databases, and knowledge graphs to enable complex goal