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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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4 Jun 2024 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 20 Jun
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clustering techniques and classification models using machine learning methods; (iv) documenting the produced computer scripts; (v) preparing reports and/or scientific articles on the work and the results
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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 2 months 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 | about 1 month 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 | 3 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