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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The successful candidate will develop signal and image processing techniques, as well as apply machine learning
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emotional states using virtual reality videos and record brain activity from EEG signals. It is also intended to implement signal processing techniques for feature extraction, the development of machine
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emotional states using virtual reality videos and record brain activity from EEG signals. It is also intended to implement signal processing techniques for feature extraction, the development of machine
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
, the i3S team will collaborate on the development of a point-of-care test (POCT) composed of panels for diagnosing and monitoring liver health, using techniques for detecting protein biomarkers as
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
. Disease initiation biomarkers identified hold the potential of informing on the need and urgency of risk-reducing surgery and potentially be used in the future to develop a point-of-care device to better
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Objectives Perform functional T cell assays; proliferation, cytokine production and signalling events (Cell culture, animal infection models and flow cytometry); Phenotype genetically altered mice for immune
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the intracellular signaling pathways that underlie neuroprotective and anti-neuroinflammatory activity using molecular biology techniques. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be carried out at MARE
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engineering, mechanical engineering, or related fields, and with skills in the development of computational simulation codes and computer programming. 3.Applicants eligibility: Applicants must comply with
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5 Mar 2025 Job Information Organisation/Company Instituto Politécnico de Beja Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate
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in the areas of interest; (c) development and implementation of processing and prediction algorithms, accommodating the characteristics and specificities of the data collected under analysis in