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- Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab
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related to Computer Science, Machine Learning, Data Science, Information Management or other related areas; Have skills in the development and application of machine learning models in supervised and non
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email address and telephone number. 20.2 The application must be accompanied by the following documents: a) Copy of certificate or diploma; b) Doctoral thesis; c) Detailed curriculum vitae, structured
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, marital status, profession, residence and contact address, including email address and telephone number. 20.2 The application must be accompanied by the following documents: a) Copy of certificate or
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place of birth, marital status, profession, residence and contact address, including email address and telephone number. 20.2 The application must be accompanied by the following documents: a) Copy of
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-the-shelf circuit simulator (for improved training accuracy) or high-fidelity surrogate model and sizes the circuits when provided with a set of requested performances; (2) the second part covers automatic
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models (GLMs), and perform spatial analysis using R, QGIS and ArcGIS. The researcher will validate bioindicators, write scientific articles, present results at conferences, and collaborate with
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 19 days ago
systems that simulate and model human behaviour in immersive environments. Integrate psychophysiological data (e.g., EEG, EDA, EMG) into interactive digital applications for experimental and clinical use
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-42-2025)", accompanied by the following documents: Curriculum Vitae, copy of degree certificate, driver’s license, motivation letter, reference letter, and other relevant supporting documents
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will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine
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equation modelling; Attended PhD programme. Work plan and goals to achieve The work focuses on understanding the adoption, use and value of IT innovation. The aim is to understand the main drivers