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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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, development of sustainable business models as well as improving the integration of stakeholders' perspectives on landscape management. We work with systems analysis based on qualitative and quantitative data
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-driven methods for structural analysis under multiphysics loading”. Expected start date and duration of employment This is a 4–year position from September 1st, 2025, or as soon possible. Job description
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data analysis. This position is part of an interdisciplinary research project funded by EIT Food, aimed at advancing the design and effectiveness of environmental food labels to support more sustainable
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO₂e analysis tools. Expected start date and duration of employment This is a 1.5–year
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development. You have experience in medical statistical data software analysis (using R, STATA or similar), as well as integrative analysis of molecular data in relation to clinical datatypes, such as
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Analysis of CO₂-to-Food Pathways We are seeking a postdoctoral researcher (or research assistant, depending on qualifications) to contribute to the modeling, integration, and techno-economic assessment
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auditing Forensic analysis and fraud detection Advanced financial statement analysis (building on AU existing course) International business Business Psychology Crisis communication Digitalization (e.g. data
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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process