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functional characterization. • Data Analysis: Analyze experimental data, maintain detailed records, and assist in the interpretation of results. • Lab Maintenance: Ensure proper
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development of new experimental setups, including complex deuteration methods, and advanced data analysis combined with simulations and mathematical modeling. The position in anchored at the Department of Food
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on methods and concepts. The project: Philosophical Perspectives on Animal Models in Translational Neuroscience The aim of the PhD project is to provide a practice-oriented philosophical analysis of the role
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developmentof new experimental setups, including complex deuteration methods, and advanced data analysis combined with simulations and mathematical modeling. The position in anchored at the Department of Food
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programmers. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related
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scientific publications, incl. papers, articles and books, must be written in Danish, Swedish, Norwegian or English. The application MUST include the following 8 elements: Application / letter of motivation
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pipelines, as well as processing and analysis of different data modalities. You will have the opportunity to develop data science methodologies. The position involves interdisciplinary research through
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experience in forest ecology, silviculture, or forest management, preferably with a focus on close-to-nature or climate-resilient forestry. Proven skills in data sampling, statistical analysis, and scientific