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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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for quantum technology applications, including quantum computers and space-based quantum sensors. For these research activities, we are looking for a Scientific Employee (m/f/d) for quality assurance in a
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wire grades in combination with adapted and sensor-supported process variants. SCIENTIST (M/F/D) RESEARCH LEAD FOR WIRE-BASED ADDITIVE MANUFACTURING (WAAM) LKR Light Metal Competence Center Ranshofen For
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implement algorithms for image processing and analysis of multisensor data (RGB, LiDAR, hyperspectral). Design and implement explainable AI (XAI) models for the detection and quantification of grape berry
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. As a successful applicant, you will drive your own research, analyze NGS and other high-throughput data from patient cohorts and work on the development of improved NGS data analysis algorithms and
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., PyTorch, TensorFlow) and medical image analysis libraries (ITK, VTK, Slicer3D, MONAI) Experience with hardware-software integration, including encoders, sensors, and safety aspects of robotic workflows
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applications. Possess system analytical and algorithmic thinking Demonstrate a curious and collaborative mindset, strong research motivation, and eagerness to apply your skills to diverse computational