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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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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 application: Applications must be formalized by sending the following documents: i) Detailed Curriculum Vitae; ii) Documents proving the academic degrees obtained and their classification* (in
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profile suitable for the proposed work plan; e) Be enrolled in a non-degree course or in a study cycle leading to a PhD degree, a requirement to be verified at the time of contracting, in accordance with
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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 - 23:59 (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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Researcher (R2) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:59 (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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30th April 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Ecology Apply for this job