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Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
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phylogenetic analysis over traditional Bayesian methods, and this capacity for improvements will have substantially more impact on the more complex MSC model. The project will develop an efficient framework
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various environmental samples ranging from extinct and ancient animals to consumer food products. These fragments can be detected and analyzed using our specialized wet and dry-lab methods. The objective
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digital biological system for generating labeled data using biology-informed DNNs and GenAI. The objectives will be achieved by combining methods and techniques from separate research fields – (a
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no more than six years, and may be extended if, due to the teacher’s absence due to sick leave, parental leave or other special grounds, more time is required to reach the objectives of the appointment. However
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for precision medicine within oncology. You will develop interpretable deep learning models of tumor microenvironments from tissue images and spatial omics data. The project objective is to develop implementable
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model