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of generative artificial intelligence to aid the design of novel metabolic systems. You will be working closely with the experimentalist in the lab to build ‘design-build-test-learn’ pipeline through
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
genetic data Multimodal machine learning for biological discovery Translational genomics and risk modeling The fellow will work in an environment that emphasizes methodological innovation, statistical rigor
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, Julia, C/C++ or similar is required. Experience with machine learning, analysis of climate or high-resolution model output, climate predictions/projections or environmental risk assessment is an advantage
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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, collaborate effectively within a multidisciplinary team, and quickly acquire new research techniques. About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds
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of the salmon feed. Determining the protein and lipid content, and fatty acid and amino acid profiles of potential ingredients is an important component for evaluation. This experience will enable you to learn
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novel and uncharacterized pathogens, confirming and characterizing novel agents, evaluating candidate biocontrol compounds, and assessing pathogen impacts on colony health indicators. Learning Objectives
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages