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tools. Processing of collected data; Implementation of Machine Learning; Development/implementation of the model prototype in the digital solution (app/platform) to support the clinical trial
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Program. The selected candidate will: The candidate will perform tissue dissections, immunohistochemistry, and sample preparation for advanced imaging. They will also manage Drosophila genetics and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
. - COMPETE2030-FEDER-00682600, Operation No. 15722, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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the full Portuguese version has official value for the evaluation and selection process. Title: B-0038-26 – Research Grant (BI) – 26/03/2026 – CoolEnergy – CENTRO2030-FEDER-02976700 Funding Reference
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. . RECIPIENTS: Holders of a Master's degree in Computer Engineering or a related field and enrolled in a PhD programme in Computer Engineering or a related field. [registration is not mandatory during
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20 Feb 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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Sociology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra
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11 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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. Procedure Reference: IT137 - 26- 34 I - Legal admission requirements I.I - Grant Recipients: The scholarship is intended for Masters in Electrical and Computer Engineering, enrolled in a PhD programme or a
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. Preferential factors: • Education or training in reaction engineering, microfluidics, microbiology, fluid dynamics, image analysis, or machine learning (where applicable to the specific PhD project); • Fluent