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Field
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to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems, ranging from chromosomes
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teaching and research around a variety of thematic, geographical and theoretical approaches including, among others, network theories, connected history, reading history, medical humanities, material culture
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materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency
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at the intersection of neuroscience, artificial intelligence, and medicine? Do you hold a Master’s degree that has equipped you with strong skills in mathematics and programming, and do you have a keen
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environment that brings together expertise in computational design, digital fabrication, and architectural history/theory. The project will be situated within ongoing explorations of robotic fabrication
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supervision. Complete and defend a PhD thesis within the official appointment duration of four years. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science
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, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision
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subgroups—in shaping how teams collaborate and perform under pressure. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your
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. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your colleagues: This PhD position is part of a larger project