963 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" "Univ" positions in Sweden
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collaboration with industry. For information on relevant background research, please refer to our earlier publications: doi.org/10.1038/s41467-025-55954-3 and doi.org/10.1002/ente.201402201 and doi.org/10.1038
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techniques such as SEM, TEM, XRD, EDS, EBSD, FIB/SEM etc., as well as physico-mechanical characterization techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good
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with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
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working with associated techniques, such as bioprinting, is considered an asset. To be eligible for the position, the applicant must be able to analyze and interpret data, have excellent oral and written
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ovarian cancer and accompanying biomarkers for guiding personalized therapy. Work duties The main duty is to conduct research within the subject area, including experimental work, data analysis
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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for
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and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has
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Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics. Additional requirements In order to complete the doctoral programme in question, the following are also
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personal statement including a general description of past research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree
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of Gothenburg in Sweden and the Norwegian Institute of Public Health (Oslo). We investigate genetic and environmental factors affecting human gestational age at pre-term birth. We work with unique genomic data