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for zone-based CT analysis” Implementation and evaluation of computed tomography measurements on several laboratory μ-CT systems in division 8.5 Support in the maintenance of the laboratory μ-CT systems in
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physics within our ATLAS group. The group has contributed decisively to the design and construction of the ATLAS muon spectrometer and is leading the upgrades of the muon detector and trigger system
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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decision-making in organoid and organ-on-a-chip culture optimization Collaborate with a diverse team of engineers, physicists, and biologists to refine and expand platform capabilities Utilize automated
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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assessment of materials using microbial communities Processing and analysis of high-throughput sequence data (DNA, RNA, community data, whole genome data, data mining) Data management for the division
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or related with strong bioinformatics background) (m/f/d) with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as
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vegetable cultivation development of a decision support system (DSS) for practitioners to introduce the tested practical approaches participation in the implementation of the overall project, e.g., by