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the European Regional Development Fund (ERDF) through the NORTE2030 Operational Program, underway at the Faculty of Fine Arts of the University of Porto, under the following conditions: 1. Research area/s: Art
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Desenvolvimento Regional (FEDER), through the Programa Operacional de Competitividade e Internacionalização (POCI) – COMPETE 2030, by Portugal 2030, with a view to developing R&D activities, namely: participating
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of artistic research and artistic creation within the context of climate change. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
protein (FAP) as an emerging target for molecular imaging and/or cancer therapy, this project aims to develop and optimize bioconjugation and radiolabeling methods for computationally designed miniproteins
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
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Infrastructure EU-OPENSCREEN. A web server will be developed for predicting modes of action of small molecules based on a multimodal deep learning model. Workplace and Scientific Guidance: The work will be carried
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proposal of activities that the candidate intends to develop during the first five years of your activity as an Assistant Professor, explaining how you can contribute to the progress and development
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) position for a First Doctorate Level Researcher for the exercise of research activities in the scientific area of Physics Engineering, to exercise the functions of development and characterization of gaseous
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Jardim Nunes (ist132720) Organic Unit: Interactive Technologies Institute Scholarship Theme: Development of a dashboard for visualizing energy consumption on an urban scale Duration: 6 months Maximum
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Experience & Adaptive Connectivity for Cooperative Mobility". Scientific Area: Networks and Services Group: Networked Systems – Po Work Objectives: - Development of a Python application for anomaly detection