20 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Portugal
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- LNEC, I.P.
- INESC TEC
- Instituto Politécnico de Setúbal
- University of Aveiro
- Associação COLAB TRIALS - Laboratório Colaborativo para a Inovação em Ensaios Clínicos
- Centro de Computação Grafica
- ESS - Escola Superior de Saúde
- FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
- ISCTE - Instituto Universitário de Lisboa
- Instituto Superior de Engenharia do Porto
- Instituto de Telecomunicações
- Nature Careers
- Universidade da Madeira
- iBET - Instituto de Biologia Experimental e Tecnológica
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programming, and/or human-computer interaction (UX), and/or application of Machine Learning. Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. 3. Financial
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
, machine learning–based computational approaches, and the development and application of human-derived microphysiological models, including organoids and organ-on-a-chip systems, to enable earlier disease
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-computer interaction (UX), and/or appli cation of Machine Learning. • Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. Financial component
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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: Design, implementation, validation, and evaluation of Artificial Intelligence and Machine Learning models for UAS identification and classification based on AI and RF spectrum occupancy data sets
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and
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of artificial intelligence models, including machine learning and deep learning; c) Immediate availability to start the scholarship (to be stated in the motivation letter); d) Proficiency in the English language
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. (Host institution: Iscte-IUL, Portugal) 2. Project title: Machine learning techniques for crosstalk mitigation and new passive optical network architectures. (Host institution: Iscte-IUL, Portugal
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(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements