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data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
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group, which specializes in machine learning and systems glycobiology, and will be financed by the Future Research Leaders 9 (FFL-9) program from the Swedish Foundation for Strategic Research. Doctoral
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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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will be part of the Bojar group, which specializes in machine learning and systems glycobiology, and will be financed by an ERC Starting Grant. Doctoral studies comprises four years of full-time study
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computational methods used in the group, and effective communication between these disciplines will be crucial. The PhD student will be part of the Bojar group, which specializes in machine learning and systems
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where all team members can thrive. We offer a stimulating research and learning environment with advanced PhD courses in areas such as optimal control, machine learning, and probability theory
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stimulating research and learning environment with advanced PhD courses in areas such as optimal control, machine learning, and probability theory. The working language is English, and our team is international
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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
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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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and industrial experiments. The PhD student will work closely with experts in radar signal processing, statistics, and machine learning, and collaborate with industrial partners. In addition to research