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-resolution or single-molecule imaging. ● Experience with machine learning/deep learning for bioimage analysis, including model application, validation and/or development. ● Experience with optical development
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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: Development of a computer vision-based machine learning model, using Convolutional Neural Networks or similar architectures, for the early detection of diseases in pome fruit orchards. Tasks: - Review machine
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machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria referred
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30 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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15 Jul 2026 Job Information Organisation/Company INESC TEC Research Field Computer science Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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Science or related areas Admission requirements: Knowledge in Computer Science Additional optional skills and qualifications: Knowledge of Python programming, machine learning, natural language processing, databases
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.pdf JOB ADVERTISEMENT Recruitment of 1 Doctorate in the field of Data-driven asset management and decision support for maintenance INESC TEC - Institute for Systems and Computer Engineering, Technology
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prototypes, transforming them into useful information to support agronomic decision-making; Apply data processing and machine learning techniques to relevant problems in an agricultural context; Support the