218 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Sweden
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will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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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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mathematics Appl Deadline: (posted 2025/12/11, listed until 2026/01/16) Position Description: Apply Position Description Postdoc in Algebra-Geometric Foundations of Deep Learning or Computer Vision KTH Royal
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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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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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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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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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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