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Field
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particular focus on increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments
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modulations that occur within the oligomers constituted by mu-opioid receptors and other G protein-coupled receptors, such as dopamine and adenosine receptors. These complexes are responsible of opioid
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develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including SPSS and R, for large and complex data analysis Proven knowledge
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profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and
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of complex molecules and reactions. Must have PhD in Physical/Theoretical Chemistry or Artificial Intelligence/Machine Learning or related fields. This position will be initially awarded for one year, and
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health, health data science, medicine, pharmacy or a related discipline. Experience analysing complex datasets using R, Stata, SAS or Python. Knowledge of epidemiological methods and healthcare data
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executes experiments of considerable scope and complexity in the assigned research lab; collects and analyzes data for research sponsored by appropriate agencies and Institutions; provides technical and
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: Ability to work independently and as part of a team on complex research projects. Ability to collaborate with interdisciplinary teams, organize one's work, and meet scientific publication deadlines
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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and