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gas chromatography. It is also probable that you will use CAD (e.g. for 3D printing), programming (e.g. Python) and MEMS chip design and fabrication. You should therefore have a desire to learn new
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(3) years.Supervisor:Dr Mohamed Lamine Faycal BELLAREDJ, Assistant ProfessorDepartment of electrical engineering, Universite de Moncton (Moncton campus)Email: [mohamed.lamine.faycal.bellaredj
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. Assess ecological change by applying shotgun metagenomics and amplicon sequencing to track microbial community shifts under persistent wet skimming. Translate lessons learned into engineering design rules
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machine learning, computer vision, or robotic perception would be an advantage. Experience with sensor fusion techniques and various sensor technologies would be an advantage. Experience with open-source
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critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG biosynthetic machinery. Applying novel GAG analytical technologies to investigate how changes
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and quantum states of atoms or molecules prior to the reaction. By combining this with resonance-enhanced multiphoton ionisation and velocity map imaging, we can probe the reaction products in high
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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Engineering Operations Research Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and
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hold an MSc degree in environmental science or ecology, with a proven expertise in data analysis, organizing and handling. Expertise in machine learning is a plus. A sound command of the English language
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker