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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 22 days ago
or related fields; – Be enrolled in a master's degree or integrated master's degree in Geography or related fields; – Have experience in the use of GIS and Spatial Modeling; – Immediate availability
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
with transformer-based architectures. Then, a novel embedding technique will be designed to map high-dimensional wireless network parameters into a compact vector space modelling, where temporal, spatial
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Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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, introduce spatiotemporal inhomogeneities in dose delivery. Such features challenge conventional models but may be naturally incorporated into the RG formalism via spatially varying couplings or external
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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as well as the consolidation and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods