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and structure of healthy anatomy and detect any deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine
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the atomic and molecular level to complex structures, processes and properties. Our research bridges fundamental science and applied engineering, with core strengths in sustainable materials development
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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in the State. The position is covered by the Protocol on Job Structure. Physical presence at IFRO is considered as a natural part of being an employee to contribute to a welcoming, socially pleasant
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of representative structures and hardware prototype is expected as part of the project. The position is offered in relation to the project “GRACE: Glass for Reliable and Circular Power Electronics” within
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competence You have Completed an academic degree at the candidate or master level in a STEM discipline (e. g., Chemistry, Biology, Physics, Computer Science, Human-Computer Interaction, IT Product Development
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic