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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit
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, ensuring the agent's responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD
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-immune disorders, immunology, infections, and infectious diseases. Within the BioMS group you will work in the team and under the guidance of dr. Fabio Marino. Dr. Marino received his PhD in the BioMS
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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sustainable energy. With approximately 100 staff and over 100 PhD students, we engage daily in up-to-date and relevant teaching and research in the fields of planning, demography, and geography. Through our
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inside and outside our research group to stength the research outcome. Job requirements A PHD degree in a relevant subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy