212 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in Sweden
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applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims to create analysis‑ready
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scientific curiosity Mastery of data visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently
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both Swedish and English. If Swedish is not your native language, SLU offers language courses to give you, as an employee, a good opportunity to learn Swedish. Great importance will be attached
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communications theory methods Applying optimization techniques and machine learning/AI approaches Conducting simulations and experimental validations Collaborating with Ericsson and Chalmers researchers Publishing
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/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data
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application! The position Linköping University has a new cybersecurity lab that includes both a computer room for students and a server environment that can be used to simulate different scenarios related
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management, information security management systems, etc.), or networking and infrastructure (e.g., computer networking, operating systems, system administration, cloud computing, etc.). You are expected
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context. Ability to teach courses on adjacent programmes in the department, e.g. cybersecurity, human-computer interaction, embedded systems, etc. Experience in research in other areas currently being
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, tightly collaborating research groups conducting research and education in Robotics and AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction and Natural
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into mechanosensory corpuscles (Nikolaev et al., Sci Adv 2020; Nikolaev & Ziolkowski et al., Sci Adv 2023; Ziolkowski & Nikolaev et al., Sci Adv 2025). This is just the beginning and there is still much to be learned