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and work in the interface of basic cellular biology /virology and experimental clinical medicine trials meeting the challenges of developing methods to the highest international scientific standards As
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these technologies and methods into research and teaching. The successful applicant will be expected to develop research projects that result in peer-reviewed publications. The successful applicant will also be
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learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will have the chance to explore basic machine learning research as
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Living in Denmark Please visit the international staff website: https
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of the ABIS project, which
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, and energy storage in Denmark. As a professor you are expected to play a leading role in developing our expertise within applied basin research, seismic interpretation methods and our understanding