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Field
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improving outcomes for older adult patients. Applicants must have or must be in the process of obtaining, a PhD in human factors, industrial-organizational psychology, health services research, implementation
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. Research results are often deployed as widely used open-source software and services. The lab’s work is supported by a portfolio of federal and foundation grants spanning biomedical knowledge integration
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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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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Within the project «FLASh: Fast simulation
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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industry-standard electromagnetic simulation software. Develop additively manufactured and 4D-printed antenna prototypes, including the preparation and optimisation of fabrication processes. Conduct
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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present scientific results. # Software and tools - Proficiency in standard computer tools. - Experience with mass spectrometry data processing and analysis software. # Personal skills - Autonomy, rigor, and