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strong background in computer science, including formal methods and mathematics, as well as an interest in AI and safety-critical systems. Good programming skills are required. Supervision: Prof. Elena
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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the Job related to staff position within a Research Infrastructure? No Offer Description Two PhD positions in machine learning in our group. One funded by WASP---Wallenberg AI, Autonomous Systems and
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within a Research Infrastructure? No Offer Description Job description Electrodeposition is a versatile and accessible method for preparing metallic nanostructures and alloys with tunable morphology
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settings. However, achieving accurate and reliable positioning in such environments remains a significant challenge. This PhD project aims to develop novel AI-driven methods for trustworthy positioning and
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, incorporating data-driven methods to improve predictions and support strategies aimed at reducing pollution and improving marine ecosystem health. Supervision: Professor Zahra Kalantariis proposed to supervise
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer science We invite applications from talented and highly motivated candidates to pursue a PhD
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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highly motivated PhD student to develop advanced models for predicting the fatigue life of additively manufactured steel in nuclear reactor water environments. The project focuses on modeling corrosion
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from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree