925 innovation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "DIFFER" PhD positions
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antimicrobial resistance (AMR), but the biological mechanisms remain poorly understood. This project asks how temperature shapes selection for resistance across different antibiotics, strains, and species
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BI Norwegian Business School’s Department of Communication and Culture and Department of Law and Governance invite applications for a four-year doctoral scholarship focusing on outsider innovation
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Individual differences in inner speech: Measurement and modelling provided the necessary funding is available. This PhD fellowship is available as of 1 February 2027 for a period of up to three years (5+3). It
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This post (Research Assistant/Associate in Computational Methods for Structural Wing Design) will allow you to contribute to a major industry-funded project developing the next generation of
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A new approach has emerged that integrates data and mathematical models through neural networks. This...
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26th October 2026 Languages English English English The Department of Design at NTNU has a vacancy for a PhD Candidate in Human-Centred Design for AI Companionship and Care in Ageing Societies Apply
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in health system innovation are available for appointment from January 1, 2027, or soon hereafter
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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, investigates how smart and autonomous technologies can support social encounters in public space. It brings together Human-Computer Interaction (HCI), Design Research, and artistic research through speculative
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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess