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digital biological system for generating labeled data using biology-informed DNNs and GenAI. The objectives will be achieved by combining methods and techniques from separate research fields – (a
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intracellular fluorescent labeling techniques Extensive expertise in Matlab programming, particularly in GUI design and hardware interfacing with external lab equipment Assessment criteria and other
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—to enhance UAV capabilities in real-world applications. This project aims to efficiently manage unannotated or partially labeled datasets by utilizing weakly-supervised and self-supervised learning, enabling
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application! Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful
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and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. Name of research project
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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-designed nano-bainitic steels. This PhD position is part of the EU RFCS project “AUSNANITE”: "Low Carbon Footprint of Eco-Designed AUStempered NANostructured Bain/FerrITE Steels", a collaborative initiative