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Field
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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, neuroimaging, physiological, and immunological data within unified theoretical frameworks. Our work has been published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https
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published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https://www.ncbi.nlm.nih.gov/myncbi/paola.magioncalda.1/bibliography/public/ ) The successful candidate will play
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protection systems. Real-time simulation of centralized protection control (CPC) systems. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https
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methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis
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related field. Strong background in solid mechanics, materials physics, and crystallography. Experience developing tools using Python, C/C++, MATLAB, etc. Demonstrated ability to conduct independent
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of software packages such as Matlab, SIMCA, R, Chenomx, and MetaboAnalyst, as well as relevant databases. FELASA training and experience in animal experimentation, alongside experience in 2D and 3D cell culture
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programme Reference Number AE2026-0219 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0219
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-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other