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Field
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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conventional omnidirectional antennas with compact, directional, and beam-steerable solutions that increase the signal-to-interference ratio in realistic flight conditions. A central part of the work is the
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educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The successful candidate will
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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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vesicle-based signalling to nutrient-use efficiency. Manage data, perform statistical analysis and exchange results with project partners producing synthetic EVs and modelling the data. Contribute
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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signaling, metabolism and gene expression, and determining their physiological roles in the context of immune responses to infection, in autoimmunity and antitumor immunity. Methods used in the lab include
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procedure All applications must be sent via the electronic recruitment system, using the link below. The application must include: A complete, numbered list of publications and work in progress (indicating
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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Tissue Plasticity (ATLAS) and Center of Adipocyte Signaling (ADIPOSIGN) , both directed by Susanne Mandrup. Furthermore, you will be able to benefit from the many international collaborations of our group