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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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: Integrated sensing and communication Cell-free massive MIMO beamforming, and MIMO algorithms Joint optimization of communication and computing resources Preferred qualifications A doctoral degree or an
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meritorious if you provide transcripts with documented coursework in algorithms, theory of computing, quantum computing, and discrete mathematics. provide published work on the design or analysis of modes
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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information science (GIS), with a particular focus on technically oriented courses such as geographic databases, Web GIS, GIS algorithms and data structures, geospatial artificial intelligence (GeoAI), and the
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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9 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Other Researcher Profile