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Field
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transcriptomic datasets (bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and time-series data). • Identify disease molecular signatures under spaceflight and simulated conditions. • Construct and
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analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high-dimensional statistical modelling with tools such as Seurat, Scanpy
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You Completion, or near completion, of a PhD in Bioinformatics, Data Science, Computational Biology, Immunology, or a related discipline. Demonstrated expertise in bioinformatics, statistical analysis
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. Master's degree or PhD preferred. Minimum Experience: Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a
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programmes in spatial planning and architecture, in Polish and English, including conducting classes using statistical methods and GIS. Participating in the education of doctoral students, including serving as
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PhD in Political Science, Computer Science, Computational Social Science, Sociology, Economics, or a related degree. Applicants who are ABD (all but dissertation) in one of the above fields will be
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by
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with the help of external research funding. Teaching and supervising students at the Bachelor's and Master's level and supervision of PhD students Involvement in assessment and committee work at Aarhus
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documented strong qualifications in mathematics, statistics, or mathematically founded data science, as well as excellent oral and written English language skills. Experience with spatial statistics is an