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of the recruitment and description of the project Department of System Design ,Faculty of Robotics and Design, Osaka Institute of Technology https://www.oit.ac.jp/ [Work content and job description] Sensor Engineering
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the development of high-performance sensors, quantum computers, and spintronics devices using atomically thin materials, organic/inorganic hybrid materials, topological materials, and more. The successful candidate
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(Field Programmable Gate Arrays), and sensor devices, as well as the firmware installed on these devices. Examples of research themes: ・Vulnerability verification Technologies for IoT devices ・Technologies
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intelligence, deep learning, media data processing including images and videos, etc., including their applied fields) B) Optimization and related fields (optimization algorithms, mathematical optimization
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algorithms, system design, discrete mathematics and optimization, machine learning, natural language processing, generative AI, and AI engineering. Candidates must have some proven research record and/or
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to enhance education and research in the department. [Work content and job description] Our research aims to develop small, highly sensitive bio- or gas-sensors that can be used on-site to detect diseases
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. [Work content and job description] Research Area: Mathematical and/or computer science related to theoretical computer science, algorithm theory, data structures, combinatorics, machine learning
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framework for developing advanced IT professionals. AI is inherently data-driven, shaped by large-scale, high-quality data and algorithms that efficiently learn from it. Data engineering and statistical
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intelligence (AI), high-performance computing, big data processing, information systems, computer vision, media processing, algorithms, computer software, information security, and quantum computing. * Okayama
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of the project] * Background of the recruitment and description of the project Numerical Analysis (Numerical Algorithms), Mathematical Optimization, Operations Research, Machine Learning, Mathematical Statistics