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applications until September 19 2025 using the button below. Candidates are encouraged to review research by Francisco X. Aguilar, Professor, available here and on Google Scholar before applying. To qualify
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"Beyond 3D points in Sparse Visual Mapping". Research subject The research area for the current call is computer vision and machine learning, with a focus on methods for visual localization and mapping
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state-of-the-practice studies: You will contribute to mapping the latest research and best industrial practices in battery production. This will involve data collection using qualitative research methods
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-planning of timber production and nature conservation, two important objectives in forestry. The work involves developing knowledge and tools for habitat modelling through 1) mapping existing habitats, 2
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resolved gene expression without the need for extensive experimental data. By learning the underlying mappings between these domains, synthetic data will be generated that reflects potential drug responses
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Lund University, Centre for Mathematical Sciences Position ID: 1812 -ASL [#26496] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Lund, Skane Lan 22100, Sweden [map
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KTH, Mathematics Position ID: 421 -PROF4 [#26670, PA-2025-1487] Position Title: Position Type: Other Position Location: Stockholm, Stockholm 10044, Sweden [map ] Subject Area: Mathematics Appl
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KTH, Mathematics Position ID: 421 -PROF3 [#26669, PA-2025-0870] Position Title: Position Type: Other Position Location: Stockholm, Stockholm 10044, Sweden [map ] Subject Area: Mathematics Appl
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classification and multi-layered environment mapping -Digital twin generation for natural environments -Semantic scene-understanding in natural environments for robust decision-making -Learning-based
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application no later than August 1, 2025. Project description Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized