288 data "https:" "https:" "https:" "https:" "Central European University" Postdoctoral positions in Sweden
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description We are seeking a
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological remains to the creation of 3D reconstructions of these environments. The second part is
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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Arctic headwaters. It will include field studies and the use of existing data, potentially complemented with modelling. The postdoc is also expected to collaborate with project partners and carry out
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interdisciplinary research environment More information about Jönköping University as a workplace, conditions and benefits on www.ju.se . Required Qualifications Applicants must have been awarded a PhD in Computer
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, data analysis, as well as interpretation and presentation of research results. The main part of the work for the advertised position involves studies of specific antibodies and antibody repertoires as
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, agro-ecology, soil, and plant science. The successful applicant will be appointed for a two-year postdoctoral position, collaborating closely with the project team throughout all stages of data