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agreements, and protocol amendments. Innovation and Technical Development – 5% • Support development and testing of computational tools (e.g., algorithms for EMG signal analysis, data visualization
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advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
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from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused
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Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more
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systematic validation and performance assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics
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, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco-innovation, through
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the scientific method across multiple disciplines to advance Data and Geospatial Sciences and develop data analytics through systematic experimentation Conduct experiment-driven applied research and development
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develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings. Day-to-day: Develop new ideas, write code, run experiments, analyze data, and
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their personal and professional ambitions; Gender-friendly environment with multiple actions to attract, develop and retain women in science; 32 days’ paid annual leave for a full time internship, 11 public
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the Integrated Building Deployment and Analysis Group in the BTSD, ESTD at Oak Ridge National Laboratory (ORNL). The IBDA group leads the development of innovative methods for residential and commercial whole