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One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Apply Vacant position One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Aalborg Deadline
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One or More PhD Positions in Hyperspectral Imaging for Bulk Evidence Analysis Apply Vacant position One or More PhD Positions in Hyperspectral Imaging for Bulk Evidence Analysis Aalborg Deadline
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PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Apply Vacant position PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Aalborg
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research group and collaborate with other departments at Aalborg University, including Energy, Biotechnology and Chemistry. International collaboration is a core element of the project, and you will be
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to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network
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, biology, biochemistry, or a closely related field is an advantage. Knowledge to, or experience with advanced molecular techniques (e.g., transcriptomics, metabolomics, proteomics) and bioinformatic analysis
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(especially genome-resolved metagenomics) analysis is desirable. Experience in data analysis is advantageous. The applicant must be willing to travel for a 2-3 month research stay to learn new skills
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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and analysis Strong interest in collaborative work Passionate to present the results in highly ranked peer reviewed scientific journals and at international conferences Good English skills (oral and
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qualitative methodological skills are required, and prior experience with qualitative data collection and analysis is considered an advantage. Experience with case study research, interviews, observations