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. We are looking for you if you have a background and interest in programming languages and formal methods --- e.g., has taken courses in program analysis, verification, compiler construction and/or
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. Knowledge of health care systems, healthcare access inequalities, and health disparities, preferably within a Danish context. Experience with advanced statistical data analysis. Having experience with health
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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environment. Our research facilities include modern laboratories and access to state-of the-art core facilities for single cell analysis platforms, including sequencing and spatial tissue profiling. Terms
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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, confocal, super-resolution, and electron: transmission electron microscopy) complementary expertise in image analysis Hands-on experience with epithelial barrier assessment assays (transepithelial
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solid background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica
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secretariat of the Cochrane Bias Methods Group, which advises the Cochrane collaboration on bias in randomized trials and systematic reviews. The centre’s main research topics are analysis of risk of bias in
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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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are meteorology, mesoscale modelling, analysis and interpretation of meteorological datasets. We are also interested in hearing from researchers with oceanographic, as well as meteorological, science background