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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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initiatives (e.g. the International Polar Year 2032-33) Integrating novel tools and methods into research and advice to Greenlandic and Danish authorities, including AI-driven data analysis, process-based
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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
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, and a waitlist control condition. Data will be collected by the time the postdoctoral researcher starts, allowing the researcher to focus on analysis, writing, and publication. The position is suited
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with sustainability assessment methods, including life cycle assessment and related modelling approaches, and you have applied these in cases and analysis related to biobased products and the bioeconomy
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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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Are you an experienced researcher in microbial genomics and bioinformatics with a strong record of university teaching, and expertise in whole-genome sequencing (WGS) analysis, machine learning and
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structure-materials property relationship, x) Dynamic covalent bonds, xi) Nanomaterials and nanocomposites, xii) nanomaterials' analysis (e.g. Raman, TEM, SEM, X-Ray). The postdoc’s duties will include
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-oriented engineering and social sciences, including economics and political analysis. Further information about iClimate can be found at https://iclimate.au.dk/, and information about the Department