23 modal-analysis-artificial-intelligence Postdoctoral positions at Aarhus University
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of functional single-cell analysis as per 01/02/2026 or as soon as
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: Probability Theory, Geometry and Analysis Appl Deadline: 2025/09/25 11:59PM (posted 2025/08/25, listed until 2025/09/25) Position Description: Apply 2025/09/25 11:59PM Position Description The Department
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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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Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper
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Sciences) invites applications for a 3-year full-time postdoctoral position in the Intelligent Advanced Materials group led by Prof. Dr. Anja-Verena Mudring. This position is part of two ambitious projects
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quantitative genetics, breeding plans, artificial intelligence applied to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus in Aarhus and at
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for application in biocatalysis. Enzyme kinetic analysis. Development and optimization of multi-enzyme cascade reactions. Disseminating project results through scientific publications and conference presentations
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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practice, this means leading groups composed of a few students in different projects and includes guiding them during experiments, data analysis and in the writing of research documents. You are also