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Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field
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, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
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Location: Bay Campus, Swansea Interview Date: 23 Jan 2026 Informal Enquiries About The University Swansea University is a research-led university that has been making a difference since 1920. The
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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effectively over extended distances. For this purpose, it is essential to develop a robust mapping algorithm, that allows for continuous, online map growth during exploration and mapping operations. The map
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Requisition Id 15685 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support research directed towards developing novel AI/ML algorithms
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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integrated modelling. The key role of the candidate focusses on investigating and implementing neuromorphic algorithms algorithms to dedicated photonic reconfigurable systems. Job is in the context of EU
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 16 days ago
) for the 1D wave equation Testing of various gradient descent algorithms in different geometries Writing of an end-of-internship report Additional activities: Participation in the weekly ANEDP seminar
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 21 days ago
that diffusion models are a fundamental divergence from traditional deep learning paradigms. This suggests that existing generalisation theories are insufficient and highlights the need for a bespoke, algorithm