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operational, technical, and organizational components. Core responsibilities include: Establishing scalable systems for human subjects data collection, including participant recruitment models, data-collection
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: Probabilistic generative models (VLMs, diffusion, flow models) Reinforcement learning & Markov decision processes Causal inference & counterfactual reasoning Mechanistic & physics-informed modeling Agentic AI
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Researcher at Microsoft Research. Duties will include: Design, execute, and troubleshoot experiments Develop and validate benchmarks for model evaluation Contribute to the development of datasets for model
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System Model, vesion 3 (NorESM3), and a central satellite dataset for EEI is from the Clouds and the Earth’s Radiant Energy System (CERES). The specific tasks intended for the PhD fellow are to (i) Analyze
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supervision, mentoring and School activities that support diversity, inclusion and public engagement. You may be a great fit if you: Hold a completed or near-completed PhD in computational biology, computer
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public engagement. You may be a great fit if you: Hold a completed or near-completed PhD in computational biology, computer science, engineering, data science or related discipline. Demonstrate experience
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, immunology, or closely related discipline. Experience in immunology and molecular biology techniques, experimental therapeutics, and rodent models demonstrated through peer reviewed publications. Candidates
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are fused with land-surface models using data assimilation. The goal is to develop an adaptive experimental design frame-work for the observing system to guide ongoing measurement campaigns and targeted
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; undertake advanced statistical analyses including multi-level and longitudinal modelling; publish high-quality research outputs in leading journals; collaborate on research projects and contribute
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their applications. Applications are particularly