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, or scientific publications Experience in statistical analysis of data including univariate, multivariate statistics Science communication skills proven publication record in international peer-reviewed journals
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
significant challenges for experimental analysis, separation and immobilization studies, and the determination of physical‑chemical properties. Across these three projects, the overarching aim is to advance our
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the integration of spatial transcriptomic and metabolomic data. You will report to the Professor Ian Mills/Professor Per Qvist. Your competences You have academic qualifications at PhD level, for example within
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, including concept and design, construction and prototyping, calibration and validation, implementation and operations, data analysis, processing, dissemination, and applications, leading to new instruments
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with a background in either communication, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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to specifically the area of measurements, analysis, and documentation of the GHGs (CO2 and CH4) from peatland established with sphagnum moss under controlled hydrology. After some years the upper part of the living
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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in
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-based supervision of Bachelor, Master and PhD students in a vibrant group. Your profile We are looking for a highly skilled and motivated person who is ready to take a risk and gain high through
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finite fields. The position (2 years, starting in April 2026) is part of the 5 years project CREATE “Algebraic curves in information theory: a treasure yet to discover” financed by the Villum Foundation