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structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
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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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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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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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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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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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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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; 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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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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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