47 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Lund
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assays, complemented by mass-spectrometry-driven chemical profiling and machine-learning-supported multivariate analysis. Where relevant, CRISPR-Cas-based genetic perturbations in mammalian cell models
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The research group for associative learning conducts research in neurophysiology and
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Learning Familiarity with Computer Graphics research We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational
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Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory
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in at least two of the following areas (or similar): Wireless Communication Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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using EEG and advanced machine-learning approaches. The project focuses on identifying neural signatures of recognition and memory retrieval at the single-trial level, with particular emphasis on time
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researchers from literacy, STEM, special didactics, and the science of learning to create an interdisciplinary environment applying evidence-based practice. By systematically developing and implementing
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experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies for oncological
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with