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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
. Duration: The research fellowship will have the duration of 12 months. It’s expected to begin in April 2026, and cannot be renewed. It is mandatory to formalize applications with the submission
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requirements: PhD in biological, chemical, medical, or related sciences, obtained within the last 5 years. The 5-year period is counted from the year of obtaining the doctoral degree – the beginning of
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density functional to ab initio methods coupled to effective field theory) and related numerical and formal techniques. We are particularly fond of interdisciplinary connections and emerging technologies
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modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N
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advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and deep learning. He/she will support the development of an improved forest RTM that can
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of nonlinear PDEs or the development of new solver- or coupling-methods incl. their convergence analysis, but also modeling and simulation aspects across a wide range of fields - from biomechanics and geophysics
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and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
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Researcher (R2) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:23 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 6 Apr
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the Job related to staff position within a Research Infrastructure? No Offer Description DATE OF PUBLICATION 31 MARCH 2026 The aim of the project is to develop and optimize an innovative method
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high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar Ability