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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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knowledge of machine learning; • Have knowledge, at least, of the computational libraries Pandas, TensorFlow & Sklearn. • Have knowledge of computer vision; • Have knowledge of natural language processing
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
candidate demonstrates proven experience in machine learning, deep learning, and modeling. Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships
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of Informatics and Computing Engineering; ii) Knowledge of machine learning techniques and interest in developing skills in the CausalAI topic; iii) Some experience or interest in machine learning operations
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of Informatics and Computing Engineering; ii) Knowledge of machine learning techniques and interest in developing such skills; iii) Some experience or interest in machine learning operations (MLOps); iv) Good
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conditions: Scientific area: Informatics Admission requirements: Master in Informatics Engineering (or related field). Experience in Machine Learning and Natural Language Processing are preferred factors
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 22 days ago
tomography and machine learning are desirable # Good communication and team working skills in an interdisciplinary environment # Motivation and discipline to carry out research independently # High proficiency
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
(PIDDAC Workplan: This work aims to develop new machine learning methods for breast diagnosis. Specifically, multiple instance learning (MIL) applied to three different image modalities: (i) mammography
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an Indigenous candidate, you may be eligible for an exception to this work arrangement. To learn more, please contact the hiring team, using the contact information below. Your Challenge Great Minds. One Goal
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3 Apr 2024 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 17 Apr