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Field
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responds to unmet medical needs. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition
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Skills/Qualifications Additional undergraduate degrees related to mathematics, physics, computer science, telecommunications, or engineering. Knowledge of machine learning, mathematics, and probability and
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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databases containing spectral, chemical, mineralogical, and cartographic data of lunar samples. The role involves using Geographic Information Systems (GIS) such as QGIS and applying machine learning
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: Apply "machine learning" techniques. Perform statistical analysis of clinical data of critically ill patients. Validate the model with experimental data. Support in the preparation of reports and
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systems for artificial intelligence and machine learning. - Programming very low power consumption embedded systems. - Cloud and edge computing. - Development of embedded systems for the Internet of Things
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recruiting excellent candidates in the areas of Machine Learning, including Formal Reasoning About ML Systems, Explainable AI, Data Analysis at Large Scale, etc.; Privacy; Quantum Computing; Software
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, or equivalent. Excellent computational skills and language programming. Deep knowledge of numerical methods and machine learning algorithms. Specific Requirements We are looking hardworking and skilled pre
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person will work within the Information & Computing Lab (I&CLab) research group in the design of contents, materials and activities focused on machine learning, artificial intelligence and IoT
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máquina/profundo y segmentación aplicado al procesamiento de imágenes y vídeo / - Development of embedded systems for machine/deep learning and segmentation applied to image and video processing