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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
or OER systems. Familiarity with data management, AI/ML integration, or multimodal data fusion. Knowledge of automated data collection and data processing workflows. Job Family Postdoctoral Job Profile
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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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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories. Build robust
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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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data analysis. Make advances in one or more of: multimodal data fusion/joint inference; uncertainty quantification with realistic noise/measurement error; complex physics- and artifact-aware forward
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fusion, progression-aware temporal modeling), perform rigorous model validation, and help translate research findings into clinically meaningful insights in close collaboration with dental experts. This is
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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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; astronomy and astrophysics; high-energy physics; biology and health sciences; fusion energy production and management; material sciences; aeronautics, automotive. The NumPEx Exa-SofT project aims to develop
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering