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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry » Computational chemistry Engineering » Chemical engineering Engineering » Materials engineering Physics
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of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD
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boost its quality-oriented research environment in the metropolitan area of Marrakech. About MSN department The Materials Science, Energy, and nano-engineering (MSN) is a department at Mohammed VI
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-array microwave power generation, beamforming systems and transceiver technology in wider sense, this is the place to be. Your job will be part of the POLARIS programme, that ensures tight connections
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interest in material science, manufacturing, and/or process modelling are particularly encouraged to apply. How to apply: Prior to submitting an online application, you will need to contact the project
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy