51 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at INESC TEC
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with a focus on traditional machine learning (shallow learning) and deep learning methodologies. Knowledge of Data Science, including the development of data analysis and visualisation pipelines. 5
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, algorithms with a focus on traditional machine learning (shallow learning) and deep learning methodologies. Knowledge of Data Science, including the development of data analysis and visualisation pipelines. 5
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Requirements Academic qualifications: BSc in Computer Science, Computer Engineering or similar. Minimum profile: Enrolled in a Master’s program in the relevant admission area., Knowledge of Machine Learning
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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 4 Dec
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5 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 19 Nov 2025 - 23:59
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Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 15 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 15 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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13 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 4 Dec
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13 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 4 Dec
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or equivalent Specific Requirements Academic qualifications: BSc Degree in Computer Science or Informatics Engineering. Minimum profile: - Solid Knowledge on storage systems;, - Knowledge of Deep Learning and/or