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Posting Description POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center, to work in the area of experimental plasma physics and fusion energy research. The research focuses on the area of
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
Job Code: gw26/006 Job Offer from February 18, 2026 The Max Planck Institute for Plasma Physics (IPP) is one of the world"s leading centers for fusion research. With around 1100 dedicated employees
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, validation, deployment, monitoring, and (preferably) MLOps practices. You can develop and integrate AI models into operational systems, including: user‑facing applications (computer vision, sensor fusion
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in the integration of microscopic imaging with transcriptomics, through the development of variant models for modality fusion. The postdoctoral position will be part-time within the computational
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the graph structure into account. Other data fusion or anomaly detection methods, such as multi-modal autoencoders, may be considered depending on the candidate's skills. [1] Barkat Ishak and Lin-Kwong-Chon
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of VWF are associated with elevated risk of thrombosis. The composition and 3D architecture of WPB during fusion and secretion of VWF have thus far remained unclear. This is mainly because traditional
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Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with
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immunotherapeutic approaches for fusion oncogene driven AML towards a career in academics, biotechnology or pharmaceutical industry. The applicant should have a strong background in immunology, cancer biology
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and intragenic rearrangements (IGRs)—a largely unexplored class of genetic aberrations. Precision immuno-oncology: Develop next-generation
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will