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the Behavior, Rights, and Well-being research area, to which the PhD candidate will be affiliated. “Vulnerability to data exchange risks : firm strategies and consumer perceptions ” The doctoral project
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 6 days ago
, and identification of c-sncRNAs associated with egg and sperm quality. Position description: The successful candidate will participate in molecular research, data analysis, and interpretation of results
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information for three references Required Qualifications PhD in microbiology or parasitology, cell biology, genetics, or other related field. Experience in related scientific field of study Supplemental
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines. For further information about the position, please contact
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routinely collected healthcare data. Through the analysis of linked electronic health records, you will generate evidence to inform clinical guidelines, optimise prescribing practices and support healthcare
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Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
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for the Evolutionary Understanding of Human Diseases (Apollo). Information on the department can be found at https://globe.ku.dk . Our research The APOLLO Ancient Genomics Initiative is a pioneering research program led
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate