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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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related to the position: AOCS subsystem architecture, design, testing and verification (including control design algorithms, analysis and simulation) Pointing error engineering Smallsat and nanosat AOCS
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). This includes identifying new factors that drive disease progression. The primary focus will be on using state-of-the-art genetic programming (in particular: GP-GOMEA) for small, explainable expression discovery
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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algorithms, AI-driven applications and generative AI, exploring how legal mechanisms can prevent and remedy systemic biases that adversely impact LGBTQ+ individuals and which legal routes are available
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from
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; using molecular biology, genetics, and omics approaches (e.g., proteomics, phosphoproteomics, and RNA-seq) to dissect signalling pathways; collaborating with external partners to validate findings
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are hiring a postdoctoral scientist to join our EU-funded team on genetic engineering of Cyanobacteria to generate sustainable cell factories. The C5 project (Clever Combination of Synthetic
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to horses and companion animals, and both clinical and more fundamental research in the areas of regenerative medicine, locomotion, genetics and reproduction. More information For more information, please
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clinical and more fundamental research in the areas of regenerative medicine, locomotion, genetics and reproduction. More information For more information, please contact dr. Riccardo Levato external link