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will use machine learning and other advanced statistical techniques to develop precision prediction models using large multimodal datasets. Assist writing and submitting grant applications. Work as a
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of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project. Supervision: Professor
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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
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employed at Lund University, Work with u s. Work duties In the role as Project Assistant you will use machine learning and other advanced statistical techniques to develop precision prediction models using
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allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic
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Research Infrastructure? No Offer Description This position offers a unique opportunity to work at the intersection of statistical machine learning, control theory, and transport safety, in collaboration
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This position offers a unique opportunity to work at the intersection of statistical machine learning, control theory, and transport safety, in collaboration with researchers at Chalmers and the
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European network, collaborating with major aircraft engine OEMs and leading universities through several EU aviation projects. About the research project The project aims to develop machine learning methods
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include teaching lessons, supervising in the computer lab or during laboratory exercises, and other tasks, including correcting reports, quizzes, etc. About you To be employed as an amanuensis, you must
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methods for creating innovative heat-exchanger geometries with high efficiency and sustainability in mind. You will use open-source machine learning software provided by Meta AI and OpenAI, deployed