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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary research
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of SATURNA, namely Language Models for RNA sequences, Graph representation learning and generative models, Knowledge-Augmented RNA modeling, Computational RNA biology and Experimental stem cell biology and RNA
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scientific assistant Strong interest in emerging, interdisciplinary fields within architecture and material science Knowledge of building construction methods, materials, architectural design principles, and
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neuroscience, human movement science, psychophysiology, cognitive neuroscience, psychology with strong quantitative expertise, or a related discipline. The ideal candidate will combine strong analytical ability