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experienced in university instruction at the graduate and undergraduate levels and be able to teach a wide range of political science courses in theory and policy. This position has no research expectations. As
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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the final candidate’s qualification, education and experience and considered with the internal peer group. BNL policy requires that after obtaining a PhD, eligible candidates for research associate
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research staff, PhD students, or postdocs Providing guidance, training, and technical support to others in the research team Ensuring compliance with research ethics, safety regulations, and institutional
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optoelectronic devices) while also connecting to application-driven areas of Electrical Engineering, such as Power and Cyber-Physical Systems, Machine Learning, and Intelligent Energy Systems. We particularly
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computer skills, including MS Office programs, database management, EHS software applications. Ability to interact well with all levels of personnel within an organization Ability to wear personal protective
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systems, copilots, AI assistants, no-code/low-code AI tools). Understanding of AI system deployment concepts and practical constraints relevant to business environments. Familiarity with machine learning