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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 4 hours ago
, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis. The goal of these quantitative systems pharmacology models is to define
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science, public health, transport studies, and data analytics. Key Responsibilities: Design, develop, and validate research instruments, including surveys, focus group protocols, experimental stimuli, and
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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the future? PhD Research Fellow in Civil Engineering and Infrastructure Materials Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the country's fourth
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU Singapore) is a leading school for research and education in the sustainable built environment
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
Human Factors, Human-Computer Interaction, Engineering, Computer Science, or a related discipline. Experience in Human-AI Teaming, Human-Automation Interaction, or Human-Centred AI, preferably in safety
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colleagues within the team. You should apply if you have experience in quantitative health research, statistics, epidemiology, data science, or a related discipline, with expertise in analysing large and