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Field
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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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, chemical imaging, spectral analysis, or image analysis. Experience with O-PTIR, FTIR imaging, Raman mapping, chemometrics, micro- and nanoplastics, biological samples, Python, R, or MATLAB is highly
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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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from Danish upper secondary students Compare cross-national data and analyse complete datasets in collaboration with consortium partners Gather and perform preliminary policy analysis of digital and AI
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should have hands-on experience with microfabrication, nanofabrication or experimental device work, and be comfortable with systematic laboratory work, data analysis and troubleshooting. The project spans
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
methodologies operating in both time-domain and Fourier-domain representations. * Research on spectral analysis, signal characterization, noise suppression, and data compression techniques for TEM systems
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onwards. Through a combination of history of emotions, educational history, historical ethnography, and policy analysis, the project explores how students' discomfort with, resistance to, and disengagement
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soil from field sites across Denmark alongside fellow scientists and field station personnel. Planning and executing of field- as well as lab-experiments. Achievement of laboratory data, analysis, and