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learning methods that leverage the unique properties of SAR data. Develop a foundation model pre-trained on large Synthetic Aperture Radar (SAR) datasets. Demonstrate the practical utility of the foundation
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architectures, and large language models (LLMs) as powerful tools for uncovering, quantifying, and interpreting causal information flow within the brain’s dynamic networks. Your competencies Prospective
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challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real
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Measurements and Data Processing as per December 15, 2025, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering
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for large-scale data collection and patient interaction. The position offers a unique opportunity to work at the intersection of biomedical engineering, app development, and health data science in a leading
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on large-scale datasets to benchmark performance against existing methods. The position will involve collaboration with interdisciplinary teams, including experts in signal processing, natural
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You will help conduct
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section, study programs as well as with colleagues at other departments. For information on the research profile of the department etc., please see the department’s website(below). Who are we
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programs as well as with colleagues at other departments. For information on the research profile of the department etc., please see the department’s website(below). Who are we? The Department
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will