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target trial emulation: Developing and Applying advanced causal inference methods to analyze real-world data (e.g., OLDW) Scientific writing: Publishing leading biostatistical and clinical journals Data
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners. The project goal is to develop and demonstrate a stochastic design
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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of cool star high-energy environments at its core, developing a generalised framework for characterising time-resolved stellar spectral energy distributions, flare populations, and particle environments
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includes other career-enhancing work such as teaching and supervision of students. The aim of the position is for the successful candidate to develop a research profile and gain the qualifications required
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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their professional development and ensuring adherence to best laboratory practices. Managing data collection, analysis, and interpretation with meticulous attention to detail, culminating in timely preparation
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generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
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, pH, moisture, glucose, and other small molecules. We are also interested in the development of assistive biosensing system, which can be integrated into the medical robotic systems to guide