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Field
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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developing automated tools for accelerating contingency analysis is a plus. Strong analytical skills with the ability to process, interpret, and present technical results clearly. Excellent written and verbal
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, TEM, XRD), or industrial experience in materials or process innovation is desirable. Research Associate: Hold a PhD in Metallurgy, Materials Science, or a closely related discipline*, or equivalent
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anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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. With research bridging physics and engineering with chemistry, biology and medicine there are highly diverse opportunities to innovate, collaborate and excel. We support career development, continuing
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initially be for one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format
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modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process