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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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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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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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the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC host university, subject to agreement by Aalto University and the host
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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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exceed five years. Required Qualifications A recently completed PhD in epidemiology, nursing, public health, or a related quantitative discipline. A strong background in applied biostatistics and
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, with the possibility of extension for an additional year. While the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC
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, working with Professor Russell Funk. This position focuses on developing and applying mathematical and computational methods to understand how scientific knowledge evolves over time. About the Project
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, proteins, or virus-like particles, including hands-on experience with microbiological and/or biochemical laboratory techniques, will be beneficial. Specific Requirements 1. PhD degree in biology