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, you will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. You will be working alongside PhD students
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
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that the candidate has demonstrated research experience and is able to participate in international fieldwork, meetings and dissemination activities. As a formal qualification, you must hold a PhD degree (or
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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technical-administrative employees, and approximately 15 PhD students. For more information about the Department of Law, please visit: Department of Law Further information If you need help uploading your
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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/sintering of functional ceramics Have knowledge of SOEC materials and technology As a formal qualification, you must hold a PhD degree (or equivalent) in mechanical engineering, materials science, or a
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technical-administrative employees, and approximately 15 PhD students. For more information about the Department of Law, please visit: Department of Law Further information If you need help uploading your
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observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations. See more information here: https://www.space.dtu.dk/english