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hands-on experience with Python and ML libraries (PyTorch/TensorFlow) experience with signal/image processing or computer vision for video strong programming and data engineering skills Desirable
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) Documents attesting the academic degrees obtained and the respective final grades* (at the application stage, these may be replaced by a declaration of honor, as stated in point no. 2); iv) Declaration
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Cycle Assessment (LCA) tool, according to applicable normative frameworks; Analysis of agri-food production systems, namely regarding the identification of inputs and outputs and process flows; Use and
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for a research grant within the framework of the Funding UID/00511/2025 of the Research Unit LEPABE - Laboratory for Process, Environmental, Biotechnology and Energy Engineering - funded by Fundação para
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5 Feb 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering
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) Musculoskeletal pain assessment; c) Physiological and biomechanical data collection and processing. WORK PLAN Collaborate in the following tasks of the project: a) Collaboration in defining use cases, requirements
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made by bank transfer. Selection procedure: The curriculum of the candidates (weight of 60%) will be evaluated based on its merit. The following factors will be considered: a) Academic training (Master's
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based on excimers and neutral bremsstrahlung radiation, in various noble gases and molecular mixtures; d) Data analysis: signal processing and analysis of the results obtained in the previous task. Work
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procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate, and the following factors will be assessed: a) Academic training (Master in Civil Engineering or Road
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also indicate whether the supervisor intends to supervise the candidate as a doctoral student if he/she successfully completes his/her Master's degree. An appropriate form is available for this purpose