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English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at
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Foundations of AI, with peer-reviewed publications on conferences or journals on Logic in Computer Science Desired qualifications: Documented expertise in logics for multi-agent systems, logic-based reasoning
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 20 days ago
this research into broader chemical space and will actively participate in laboratory-based research activities, including the cultivation and maintenance of human induced pluripotent stem cell-derived neural
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jumps with agent-based models to explore how opinions and news spread, enriched with social mechanisms such as cooperation, competition, and innovation. Our project will open a largely unexplored research
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In the initial phase, the supervisors, the candidate (based
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the initial phase, the supervisors, the candidate (based on the candidate's profile), and research partners will work together to identify the comprehensive research questions to be addressed to meet the
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1 x full time, fixed term (15 months) position available Salary Academic Level B ($115,303 - $136,925) + 17% Superannuation Based at the City, but may be required to work and/or be based at other
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detectors and sources. § Implementation of QN component software agents into QN control manager. § Prepare high-quality scientific publications on performed work. § Present results to supervisors
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration