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and algorithmic foundations for goal-oriented, semantics-aware communication strategies that enable efficient, intelligent, and adaptive information exchange in joint communication and control. In
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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on literature from mathematics, computer science, robotics, and game theory. Join a growing research group developing state-of-the-art algorithms for agentic decision making. About us The Department of
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, and numerical ship analysis. The goal is to develop a digital twin—a virtual replica of a ship’s physical systems—that combines real-world sensor data with advanced numerical models of hull, engine, and
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performance through the integration of AI, big data analysis, and numerical ship analysis. The goal is to develop a digital twin—a virtual replica of a ship’s physical systems—that combines real-world sensor
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of molecular dynamics algorithms in GROMACS. The main focus will be on mixed precision techniques as part of the GANANA EU-India HPC partnership. This R&D work will involve: Design and development of mixed
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. Additional qualifications Experience from providing support in image analysis to other researchers is meriting. Especially meriting is proficiency in using and developing algorithms and analysis pipelines
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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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sensors and electrochemical actuators, along with the requisite testing and characterization. You will further collaborate closely with other members of the multidisciplinary team on the relevant Organ
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that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and