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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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experimentation: 70% • Design, perform, analyze, and interpret experiments spanning neuroscience, molecular biology, immunology, genomics, imaging, and behavior. • Develop and troubleshoot new techniques and models
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transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data (e.g
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development and policy translation. The underlying methodology is grounded in LHS principles and diagnosis-specific rehabilitation continuum (DRC)1 models and frameworks such as the Multilevel Limb Loss and
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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and measurement Excellent written and verbal communication skills Demonstrated ability to work effectively in a collaborative research environment Ability to model Argonne’s core values of impact
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emissions modeling for a local concentrated animal feeding operation (CAFO), and prepare results for publication. Collaborate with USDA‑ARS workgroup contributing to enhancements of the USEPA CMAQ/STAGE model
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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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study programs to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Luleå University of Technology is one of Europe’s leading