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At the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Faculty of Medicine, Aalborg University, a PhD stipend in spatial privacy for health data is available
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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, spatially aware QC, normalization, cell segmentation integrating H&E imaging and transcript density, and spatial domain identification Single-nucleus integration and annotation: large-scale multi-sample batch
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-electrochemical platform, the Electrochemical Leaf (e-Leaf) – a powerful interactive enzyme operating platform exploited in diverse configurations. (1, 2) Inherent in this PhD project will be transformation
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of the ways in which bacteria control accumulation of toxic molecules to improve solvent tolerance in E. coli. If we understand how accumulation can be limited, we can engineer bacteria to become more solvent
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
the communication and storage needed to retain most of the information. Environment. The PhD will take place at Inria Grenoble, in the Thoth team. This is a large team focused on machine learning, and
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7 Apr 2026 Job Information Organisation/Company Vilnius university Department Faculty of Communication Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Positions
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(applications for assistance can be made to the NUORS scheme , but cannot be guaranteed). Overview We seek an excellent candidate who wishes to pursue a PhD in Politics in topics related to East Asian politics
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24 Apr 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Engineering Cybernetics (ITK) Research Field Engineering » Control
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are looking for an Industrial PhD Student to join an ambitious project focused on building foundational models of human biology using large-scale, multimodal data. In this role, you will work at the