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processes. Collaborate with production teams to integrate innovative solutions. Development of Advanced Systems and Methodologies: Design detection and dosimetry systems tailored to the specific needs of
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accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to
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with domain experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules
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Knowledge of: Active learning, Bayesian optimization Reinforcement learning or decision-making systems Experience with: Python ecosystem (PyTorch, Scikit-learn) Data pipelines and scientific data
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recruitment platform stating in object “ Postdoctoral Researcher in Biodiesel Production from Biomass ”. Share this job Facebook Twitter LinkedIn Apply now Apply for ASARI - Postdoctoral Researcher in
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assumed to have obtained their references’ consent to be contacted for this matter) Applications are to be submitted on the recruitment platform stating in object “ Postdoctoral Researcher in Bioreactor
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embedded systems, capable of designing and deploying innovative IoT solutions for research projects such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries
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(including historical process data, sensor data, and laboratory findings) using advanced AI approaches such as unsupervised learning, transfer learning, and anomaly detection. Collaborate with process
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culture purification, contamination detection, strain maintenance, and optimization of cultivation conditions. Proficiency in microscopy and morphological characterization of microalgae and/or
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ecosystems and making strides towards sustainable agricultural solutions. Visit our website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in Microbiology, Molecular