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research, writing, and analytical skills. Outstanding demonstrated oral communication skills and demonstrated ability to present complex ideas to diverse audiences. Strong organizational, project management
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or other relevant indicators. Strong track-record in publications in relevant areas in leading journals. Excellent interpersonal skills and ability to work in a team with excellent written and oral communication
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. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power systems. Experience with real-time simulation platforms, hardware-in-the-loop
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Programme under Portugal2030 and the European Union, operation code COMPETE2030-FEDER-02975500 (n.º 24829) taking place at the Department of Informatics of the University of Beira Interior (http
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consortia, including experimental planning, project delivery, technical discussions, data interpretation, reporting and scientific decision-making. Developing and optimising processes for the resynthesis and
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journals. Good written and oral communication skills. Ability to conduct research independently while working effectively within a collaborative research environment. Strong analytical, problem-solving, and
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research activities spanning additive manufacturing, materials characterization, mechanical testing, and oxidation behavior. Through this opportunity, you will gain exposure to the full research process from
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for the day-to-day operation of the Environmental Radiometric Laboratory (ERL), with a particular focus on high-resolution gamma-ray spectrometry using High Purity Germanium (HPGe) detector systems. You will
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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Science, or related field Knowledge and experience in computer vision, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics