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We are looking for up to three new PhD candidates who are interested in joining AI and Machine Learnings in the Natural Sciences (AIMLeNS) group. The group’s main research areas are AI and Machine
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unintentionally capture sensitive information, including human activity or speech. Your work will focus on developing new numerical models, advanced machine learning algorithms, and signal processing methods
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research grants from funders relevant to a Swedish context. Ability to teach courses on adjacent programmes in the department, e.g., software development, human-computer interaction, embedded systems, etc
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aspects of software development (DevOps, Algorithms etc.) or informatics (e.g., content design, user experience design and human-computer interaction). You are expected to build and maintain an academic and
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, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
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We invite 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
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chemistry, or in related fields, such as inorganic chemistry or chemistry with focus on nanoscience. Preference will be given to applicants who have completed their PhD or attained equivalent expertise
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will use advanced evaluation techniques, data mining, and generative machine learning models to create an active learning cycle to identify materials with adequate properties. Promising materials will be
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learn to combine modern analysis techniques like Morawetz estimates with Penrose's Nobel prize winning geometrical insights and formalisms, intricate symmetry operators, spinor techniques and powerful