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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
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: Apply Here Job Description Join our team and use your skill with an organization known nationally for excellence in research! See https://Eytan Ruppin | About | Cedars-Sinai Medical Center Our lab is an
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external research groups, and a planned experimental program in biophotonics. The position is based at Schloss Kränzlin near Neuruppin in Brandenburg — a quiet, focused environment for deep scientific work
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, student-centered library team dedicated to supporting learning, discovery, and academic success. The Assistant Professor - Reference & Instruction Librarian plays a key role in advancing information
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transportation systems and autonomous driving. • Strong understanding of generative AI, deep learning, and multimodal machine learning, with hands-on experience. • Excellent programming skills and proficiency with
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Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g
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, KELIM score), mutational profiles, histopathological information, and long-term survival outcomes. The first objective is to implement automated deep-learning–based segmentation of primary ovarian tumors
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development. Job Details The successful candidates are expected to: • Conduct research in computer vision and deep learning, including literature review, hypothesis formulation, and experimental design
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to the development of state-of-the-art AI approaches applied to land surface monitoring, particularly using satellite observations. These approaches may include machine learning and deep learning methods