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Number Op. nº 16913 - LISBOA2030-FEDER-00819600 Is the Job related to staff position within a Research Infrastructure? No Offer Description A competitive procedure is open for the award of a Research
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explore relations between energy and non-classicality, both to provide new ways to characterize non-classical quantum states of light, and optimize processes to produce them. Context and goal of the project
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . Please quote reference PHP-HSRP-2026-13. The supporting
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. ISO 13485, ISO 14971, IEC 60601, UK MDR) is desirable, as well as experience of applying signal processing or machine learning methods to physiological or sensor data. Application details: Applications
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent
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your personal and professional wellbeing . Full-time, Fixed term contract to start Jan 2027 for up to 12 months. The recruitment process is being managed by the University of Oxford. The selection panel
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efficient Artificial Intelligence (AI) framework for accelerated discoveries in surface science and catalysis, transforming the scientific discovery process into an adaptive, autonomous, and self-improving
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skills are a requisite: o Biomaterial development, which may include mechanical processing, chemical synthesis, additive manufacturing or microfabrication (or other relevant techniques) o Material
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ferroelectric phases (4) Adept with optical spectroscopic methods to study excitonic processes (5) Ability to solve single crystal XRD The candidate should have a PhD degree and strong track record in
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by