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. -Estimation of environmental indicators related to biodiversity and ecological connectivity. -Design, development, and benchmarking of machine learning models for indicator estimation. -Design, development, and
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e intercepción y análisis de comunicaciones. -Advanced knowledge of machine learning in artificial intelligence. -Strong proficiency in programming languages, particularly Python. -Advanced knowledge
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alternative phonological descriptions into the extended BML used by Animics also play an important role. Advances in this regard could help generate resources to progress toward a medium-term goal: the machine
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results in peer-reviewed journals, present them at conferences, and contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and support
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related to machine learning. Specifically, (s)he will be partially involved in the development of tasks T2.2 (Inductive Logic Programming), T4.1 (decision support in liver transplantation) and T4.2 (3D
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ideal for a computational scientist, bioinformatician, or data scientist eager to apply machine learning and advanced data analysis to complex, large-scale biological datasets. Where to apply E-mail
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cohort-based discovery through assay development, validation and implementation readiness — supported by transcriptomic, proteomic and machine learning platforms. Where to apply E-mail dgonzalo
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is offering starting research contracts of one year so that students can start their research career. We are looking for highly motivated candidates, with a strong desire to learn and interest in
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in processing and analysis of medical images, especially thoracic computed tomography (CT) studies. Knowledge of artificial intelligence, machine learning or deep learning applied to biomedical
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Genetics or a related discipline. Oral and written proficiency in the two official languages of Catalonia or, alternatively, the selected candidate must demonstrate, or undertake to acquire within one year