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Field
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, Ontolgies, Federated Learning . Indicate the public software repos. Deep knowlege of security and cryptography and mastering of management and monitoring tools and traffic inspection. Knowlege of technologies
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microfluidics, nano-electronics, nano-biomaterials, big data, and deep learning. Applicants must hold an M.D., Ph.D., or equivalent degree and have extensive postdoctoral experience, along with a strong
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into tangible tools, practices, and impact in the field. About you We are looking for a strategic professional with a deep understanding of the European funding landscape. Demonstrable experience in writing
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payment for that month). 2.5. Tasks to be carried out: Developing deep learning methods for processing multimodal data and data for analysing temporal information. Developing computer vision algorithms with
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Skills/Qualifications Completion of a Master's degree in the field of Deep Learning applied to images and video. Scientific publications in the area of attribute recognition in images or medical imaging
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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Relativity, and cosmological measurements using GWs such as Hubble constant and probes of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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in developing bioinformatics pipelines (Python/R/Bash) for genomic (NGS) and medical imaging data analysis, implementing artificial intelligence and deep learning techniques. - Experience in developing