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Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
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post-doc position for you! About us The Department of Space, Earth and Environment brings together expertise in space, geoscience, energy and sustainability. Through curiosity-driven research, education
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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-derived motor neurons and Drosophila models. Now, we need a curious and driven PhD candidate to help us analyze these samples using spatial multi-omics. This is a joint project between Prof. Albena
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-year grant. This stable cycle of repeat funding in 5-year increments is the typical model for successful NSF-funded math institutes. Responsibilities: The System Administrator administers technology
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of the two types of SAACD. This project will involve formalising and integrating the contributions of : (i) model-based and data-driven systems engineering (MBSE), (ii) embedded frugal (explainable and robust
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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sustainability-driven domains (health, transport, energy, manufacturing). Contribute to scientific publications, reports, datasets, open-source tools, and AI model documentation. Support project acquisition by
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Managing and leading change towards future education Technology-driven education innovation Cooperative and work-intergrated education The Department of Educational Studies (EDS), where this position is
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards