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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
(OCT) imaging, then we have the ideal opportunity for you. Come and be a part of the “Table-Top Synchrotron” project and one of the world’s strongest groups in this field in our quest to develop
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project, you will be responsible for a range of critical tasks that will shape the project’s success: Adversarial attack development: you will design and implement problem-space adversarial attacks against
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approaches Encouragement to pursue own research ideas Opportunity to develop an independent scientific profile Possibility to acquire funding to support future projects REQUIREMENTS: Highly motivated and
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of microorganisms and develop new natural product-based active substances for the treatment of infectious diseases. The junior research group (Epi-)Genetic Regulation of Fungal Virulence: https://www.leibniz-hki.de
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skilled individuals who prioritize curiosity and trust. What we offer The department/centre offers: a well-developed research infrastructure, laboratories and access to shared equipment an exciting
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developing and enhancing interdisciplinary collaboration both internally and externally. The latter with both national and international partners. Your profile The position requires a solid background in
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Introduction to the vacant position: The Smart Nano-Bio-Devices Group is looking for a Senior Researcher to develop research activities within the field of new nanotechnologies for precision
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mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving