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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 8 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
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Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
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-award courses of Higher Education Institutions. Preference factors: Machine Learning Knowledge. Knowledge of signal processing and machine learning libraries (e.g., PyCaret, scikit-learn). Minimum
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(IQN ) Hub. You will contribute to building the foundations of the future quantum internet by developing efficient quantum light-matter interfaces that operate within the telecommunication bands. You
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interaction in chemistry and in cellular signaling. We are also applying mathematical formalism to reason about functional organization in biology. We welcome applications from recent PhD graduates who bring a
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microbial genomics to join the dynamic research group led by Professor Vittorio Venturi. At AGC, Professor Venturi’s research program extends to unraveling the intricacies of bacterial cell-cell signaling
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and signal processing. Minimum requirements: Student in Biomedical Engineering or related areas. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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candidate will choose to work under the mentorship of one of 11 preceptors. Areas of research include: Mechanistic studies of signaling pathways that regulate cancer cell survival and tumor growth in renal