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requirements described will be excluded. Preferential factors: Experience in image analysis and processing using AI algorithms; English language proficiency; Portuguese language fluency. APPLICATION
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project contests in the research line. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Integrating data from optical sensors and multi-omics in systems biology (SB), Genome-scale metabolic model
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schematic (LVS), and parasitic extraction (PEX); Experience with cloud-based or containerized design environments; Knowledge on MEMS integration, Magnetic sensors, or ultra-low-power design techniques
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of inertial underwater navigation and dynamic flow measurement systems; - Development of a flow and pressure sensor array on a flexible PCB (print circuit board); - Development of instrumentation and a
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; Knowledge regarding FET sensors in microfluidics is a plus. Personal Skills “Hands-on” approach together with a high commitment in respecting deadlines; Analytical mindset with a proactive approach to problem
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Doped with Rare Earths and Mid-Infrared Emission (ChalcoMeth Sensors), supported by the COMPETE2030 Operational Program budget – FEDER-00762200, in its FEDER/FNR component, and the Foundation for Science
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domains. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an
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and reports Organization of documentation Mathematical modeling of visual defects in aeronautical structures Design of embedded sensors in structures Study of thermo-mechanical phenomena Preparation and
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to the PPS14 (in Portuguese). Provide support and organization for the development of a smart welding pilot prototype for the project using the data acquired by the sensors during the welding process. Elaborate
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quantum advantage; Classical simulation algorithms for noisy quantum devices; Boson sampling and related quantum computational advantage proposals; Mandatory Qualifications Education PhD degree in Physics