10 algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" uni jobs in Sweden
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mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
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-of-the-art practical algorithms for real-world problems. This creates a very special environment, where we do not only conduct in-depth research on different theoretical and applied topics, but where different
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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Description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Duties As an Associate Senior Lecturer
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knowledge of collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals
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, C/C++, Java. JavaScript), especially in design, analysis and implementation of geometric algorithms (computational geometry, map-based web interfaces, GIS). It will be considered a merit if you also
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? About the faculty and research group Are you passionate about machine learning, signal processing, and
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collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals highlighting findings
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing