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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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"Economics and Statistics" (E&S). E&S is a dynamic environment for research in economics and statistics, with links to computer science. The environment consists of approximately 35 researchers. Research
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invite applications for a postdoctoral position in the group of Axel Ringh at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition
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-based domain-specific emulations for new generation networks, attack generation and detection in virtualised 5G networks. As postdoc, you will principally carry out research. A certain amount of teaching
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equivalent foreign degree, obtained within the last three years prior to the application deadline Publications in leading journals or conferences in probability, statistics, or machine learning. Teaching
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which stand to contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and
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at the Department of Electrical Engineering. The Division of Communication Systems conducts research and education in communications engineering, statistical signal processing, network science, and decentralized
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international peer-reviewed journals. Written and oral communication skills in English at an academic level are required, as are relevant skills in statistical analysis. The candidate is expected to be able and
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level are required, as are relevant skills in statistical analysis. The candidate is expected to be able and willing to take initiative and to work both independently and in a team. Inter- and