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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions Research across the entire automotive software development lifecycle, from requirements and software
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selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
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written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL programming model Experience with
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, e.g., git, automated testing, packaging, documentation and code review. Experience with GPU computing or high-performance computing. Interest or experience in LLMs, tool-using agents, or agentic
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(EO) data can be used to assess different facets of ecosystem functioning in grasslands and forests. Within the project, you will collaborate closely with other PhDs and postdocs to collect field data
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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be supervised by Carla Groenland. You will have the opportunity to collaborate with postdocs, PhD candidates, and other faculty members of the research group in Discrete Mathematics and Optimization
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resource acquisition trait parameter space, and perform scenario analyses tailored to a set of Swiss lakes. There will be close collaboration with the other PhD candidate and Postdocs of the projects
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can you 3-colour an n-vertex graph of diameter 2?'). The PhD will be supervised by Carla Groenland. You will have the opportunity to collaborate with postdocs, PhD candidates, and other faculty members