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Interest in RNA biology, alternative splicing and computational method development Strong motivation for scientific research, curiosity, and a proactive attitude towards learning new methods Excellent
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PhD in Materials Science Norrkoping Reference number LiU-2026-03852 Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
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RNA biology, alternative splicing and computational method development Strong motivation for scientific research, curiosity, and a proactive attitude towards learning new methods Excellent presentation
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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, and AI-supported teaching methods. Develop and refine course materials, syllabi, and manage course Canvas learning activities aligned with program and accreditation standards Demonstrates expert
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Master Thesis - Decoding Occupancy: Classifying User Activity from Building Power Consumption with Machine Learning At the Institute of Climate and Energy Systems Engineering (ICE-1) we focus on the
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traditional, digital, and AI-supported teaching methods. Develop and refine course materials, syllabi, and manage course Canvas learning activities aligned with program and accreditation standards
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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream