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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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drive innovations in understanding vision and its diseases and develop new therapies for vision loss. It is a place where your expertise will be valued, your abilities challenged, and your knowledge
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engineering, or an equivalent qualification in a related field. The ideal candidate possess profound interdisciplinary knowledge of the ongoing energy transition, with specific expertise in optimization methods
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the ability to harness and optimize massive computational resources. However, this rapid growth in computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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for emulating constrained optimization problems Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge
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validation. Job description Characterization of powdered materials for ink formulation DIW process development for ceramic and TE materials, including parameters optimization and evaluation of resolution Setup
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GNSS-based research within our group and support existing projects related to GNSS and PNT. Key responsibilities include: Software Development: Developing GNSS software using Factor Graph Optimization
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facilities, and validation. Job description Characterization of powdered materials for ink formulation DIW process development for ceramic and TE materials, including parameters optimization and evaluation