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For app developer role: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning
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design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision
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- development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation
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Proficiency in ionic liquid handling and techniques Excellent written and verbal communication skills Ability to work independently and as part of a team Experience with machine learning in engineering is
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team comprising computer engineers, architects, designers, urban planners, and local administration professionals. In collaboration with project partners, you will: Apply machine learning techniques
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Qualifications* Must be a current undergraduate student in the ECE - Electrical & Computer Engineering Department at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work
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, TensorFlow, HuggingFace). Model Development and Delivery Support Perform data cleaning, exploratory data analysis (EDA), and feature engineering. Train, evaluate, and compare machine learning models under
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and professional success of military officers pursuing graduate degrees at Purdue. PMRI is the largest population of military officers pursuing graduate degrees at any university worldwide (see https
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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of Macao Polytechnic University in force and be able to teach Research Methodology and Ethics, Machine Learning, Advanced Topics Computer Applied Technology and Thesis, etc. (taught in English