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Field
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machine learning using chemical compounds— information provided in the CV and/or motivation letter; Knowledge of the Python programming language — information provided in the CV and/or motivation letter
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Anthropology is valued, as well as skills to teach courses in the fields of General Anthropology, Anthropology of Religions and Ethnography. Where to apply Website https://concursos.uab.pt/ Requirements Research
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teaching methods used in the various study cycles. 0.2 points /UC 2 0.02 points/theoretical classes 2 0.02 points / Problem-based learning, seminars 2 0.02 points/OT classes 2 0.01 points/ TP and P classes 2
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9 Apr 2026 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Engineering
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of Conception and Drawing of Mechanical Components and Systems, Product Development, Computer-Aided Drawing and Manufacturing, Computer Graphics, Image Processing and Analysis and Scientific Visualization. Work
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for the recruitment of one Doctorate initial level researcher within the scope of Project ZEROWASTE – “Zero emissions in a circular military economy: from military individual equipment waste to food and energy”, with
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and Computer Engineering of the Faculty of Engineering of the University of Porto (FEUP). The monthly salary to be awarded is specified in level 10, 1st position of the rank of Assistant Investigator
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Substitute Member: Prof. Dr. Mohammad Sadegh Javadi Estahbanati Substitute Member: Prof. Dr. António Pedro Rodrigues Aguiar The work will be developed at the Department of Electrical and Computer Engineering
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; Firmware development; Machine Learning concepts and tools applied to Edge-AI. Preferred conditions: R&D experience in the area in which the competition is open will be valued. Work plan: The activities to be
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. (https://dre.pt/dre/detalhe/regulamento/950-2019-127238533 ) and the Fellowship Regulations of iBET. Work place: The project will be developed at the Laboratory CLD&MV of Instituto de Biologia Experimental